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Browse files- app.y +8 -0
- data_processing/__pycache__/distribution_parser.cpython-310.pyc +0 -0
- data_processing/__pycache__/generate_kmers.cpython-310.pyc +0 -0
- data_processing/__pycache__/graph_distribution.cpython-310.pyc +0 -0
- data_processing/__pycache__/superfasthash.cpython-310.pyc +0 -0
- data_processing/distribution_parser.py +108 -0
- data_processing/generate_kmers.ipynb +54 -0
- data_processing/generate_kmers.py +35 -0
- data_processing/graph_distribution.py +108 -0
- data_structures/__pycache__/binary_search_tree.cpython-310.pyc +0 -0
- data_structures/__pycache__/hash_table.cpython-310.pyc +0 -0
- data_structures/binary_search_tree.ipynb +209 -0
- data_structures/binary_search_tree.py +157 -0
- data_structures/hash_table.ipynb +125 -0
- data_structures/hash_table.py +87 -0
- hash_table_kmer_distribution.ipynb +4186 -0
- requirements.txt +9 -0
app.y
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import os
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from dotenv import load_dotenv
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from subprocess import Popen
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load_dotenv()
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command = ["mercury", "run", f"0.0.0.0:{os.environ.get('PORT', 7860)}"]
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worker = Popen(command)
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worker.wait()
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data_processing/__pycache__/distribution_parser.cpython-310.pyc
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Binary file (2.22 kB). View file
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data_processing/__pycache__/generate_kmers.cpython-310.pyc
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Binary file (996 Bytes). View file
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data_processing/__pycache__/graph_distribution.cpython-310.pyc
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Binary file (2.74 kB). View file
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data_processing/__pycache__/superfasthash.cpython-310.pyc
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Binary file (1.9 kB). View file
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data_processing/distribution_parser.py
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from data_structures import hash_table as hashing
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def get_unique_kmers(kmer_distribution):
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"""
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Creates a kmer distribution composed of only unique kmers
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"""
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unique_kmers = []
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for kmer in kmer_distribution:
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# if the kmer only appears once, add it to the list
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if kmer[1] == 1:
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unique_kmers.append(kmer)
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return unique_kmers
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def get_most_common_kmers(kmer_distribution, n):
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"""
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Creates a list of the n most common kmers
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"""
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most_common_kmers = []
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for _ in range(n):
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highest_count = 0
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most_common_kmer = None
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for kmer in kmer_distribution:
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if kmer[1] > highest_count and kmer not in most_common_kmers:
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highest_count = kmer[1]
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most_common_kmer = kmer
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if most_common_kmer:
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most_common_kmers.append(most_common_kmer)
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return most_common_kmers
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def parse_table(table: hashing.hash_table, kmer_list):
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"""
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Parses the hash table and returns a list of tuples containing the kmer and the count
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"""
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kmer_distribution = []
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unique_kmers = set(kmer_list)
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for kmer in unique_kmers:
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if table.search(kmer) is not None:
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kmer_distribution.append((kmer, table.search(kmer)))
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return kmer_distribution
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def get_kmers_with_count(kmer_distribution, count):
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"""
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Creates a list of kmers whose occurrences are equal to the count
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"""
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kmers_with_count = []
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for kmer in kmer_distribution:
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if kmer[1] == count:
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kmers_with_count.append(kmer)
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return kmers_with_count
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def parse_math_expression(expression):
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"""
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Parses a math expression and returns the result
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"""
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num = 0
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# if expression contains ^, then it is a power
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if "^" in expression:
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# split the expression into the base and the exponent
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base = int(expression.split("^")[0])
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power = int(expression.split("^")[1])
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return base ** power
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# if expression contains *, then it is a multiplication
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if "*" in expression:
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# split the expression into the two factors
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factor1 = int(expression.split("*")[0])
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factor2 = int(expression.split("*")[1])
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return factor1 * factor2
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num = int(expression)
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return num
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def get_inputs():
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"""
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Gets user input for kmer distribution generation
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"""
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alphabet = input("Enter the dna alphabet: ")
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dna_length = (input("Enter the length of the dna: "))
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k_mer = input("Enter the length of the kmer: ")
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dna_length = parse_math_expression(dna_length)
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k_mer = parse_math_expression(k_mer)
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# return an object containing the alphabet, dna length, and kmer length
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return {
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"alphabet": alphabet,
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"dna_length": dna_length,
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"kmer_length": k_mer
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}
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data_processing/generate_kmers.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 79,
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"metadata": {},
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"outputs": [],
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"source": [
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"# this function is a recursive function that imitates the factorial operation\n",
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"def generate_kmers(dna_sequence, k):\n",
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"\n",
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" kmers = []\n",
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" pivot = 0\n",
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" def generate(kmers, dna_sequence, k, pivot):\n",
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" if(len(dna_sequence) < k):\n",
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" return kmers\n",
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"\n",
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" candidate = dna_sequence[pivot:pivot+k]\n",
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" kmers.append(candidate)\n",
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"\n",
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" return generate(kmers, dna_sequence[1:], k, pivot)\n",
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"\n",
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" return generate(kmers, dna_sequence, k, pivot)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.10.8 64-bit",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.8"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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data_processing/generate_kmers.py
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# %%
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import random
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def generate_kmers(dna_sequence, k):
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"""
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A function that generates all the kmers of length k from a dna sequence
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"""
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kmers = []
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pivot = 0
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def generate(kmers, dna_sequence, k, pivot):
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while (pivot + k <= len(dna_sequence)):
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candidate = dna_sequence[pivot:pivot+k]
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kmers.append(candidate)
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pivot += 1
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return kmers
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return generate(kmers, dna_sequence, k, pivot)
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# %%
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def create_dna_sequence(bases, length):
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"""
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Generates a random dna sequence of the desired length using the bases provided
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"""
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sequence = ""
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for i in range(length):
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# get a random base
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sequence += bases[random.randint(0, len(bases) - 1)]
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return sequence
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# %%
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data_processing/graph_distribution.py
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import plotly.graph_objects as go
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from matplotlib import pyplot as plt
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from collections import Counter
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from prettytable import PrettyTable
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def print_hashing_statistics(tabulated_data, title):
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"""
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Creates and prints the tabulated performance data for the hash table
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"""
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table = PrettyTable(
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["Hash Function", "Insertion Time", "Parsing Time", "Collisions"])
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table.title = title
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table.add_row([tabulated_data["Hash Function"][0], tabulated_data["Insertion Time"]
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[0], tabulated_data["Parsing Time"][0], tabulated_data["Collisions"][0]])
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table.add_row([tabulated_data["Hash Function"][1], tabulated_data["Insertion Time"]
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[1], tabulated_data["Parsing Time"][1], tabulated_data["Collisions"][1]])
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print(table)
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def py_bar_graph(kmer_distribution):
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"""
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Creates a bar graph using matplotlib
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"""
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kmer_len = len(kmer_distribution[0][0])
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kmer_count = len(kmer_distribution)
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title = str(kmer_count) + " Kmer Distribution for " + \
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str(kmer_len) + "-mers"
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x_title = "Kmer"
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y_title = "Count"
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38 |
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x = list()
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y = list()
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for kmer in kmer_distribution:
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x.append(kmer[0])
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y.append(kmer[1])
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plt.bar(x, y)
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plt.title(title)
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plt.xlabel(x_title)
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plt.ylabel(y_title)
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plt.show()
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def bar_graph(kmer_distribution):
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54 |
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"""
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55 |
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Creates a bar graph using plotly
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56 |
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"""
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57 |
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58 |
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kmer_len = len(kmer_distribution[0][0])
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59 |
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kmer_count = len(kmer_distribution)
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60 |
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title = str(kmer_count) + " Kmer Distribution for " + \
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str(kmer_len) + "-mers"
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x_title = "Kmer"
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y_title = "Count"
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66 |
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x = list()
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68 |
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y = list()
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70 |
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for kmer in kmer_distribution:
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x.append(kmer[0])
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y.append(kmer[1])
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fig = go.Figure(data=[go.Bar(x=x, y=y)])
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75 |
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fig = fig.update_layout(
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76 |
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title=title,
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77 |
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xaxis_title=x_title,
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78 |
+
yaxis_title=y_title,
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79 |
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)
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80 |
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fig.show()
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81 |
+
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82 |
+
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83 |
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def pie_chart(kmer_distribution):
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84 |
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"""
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85 |
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Creates a pie chart using plotly
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86 |
+
"""
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87 |
+
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88 |
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x = list()
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89 |
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y = list()
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90 |
+
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91 |
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for kmer in kmer_distribution:
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92 |
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x.append(kmer[0])
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y.append(kmer[1])
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94 |
+
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95 |
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fig = go.Figure(data=[go.Pie(labels=x, values=y)])
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96 |
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fig.show()
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97 |
+
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98 |
+
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99 |
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def histogram(kmer_distribution):
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100 |
+
"""
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101 |
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Prints the kmer distribution as a primitive vertical histogram
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102 |
+
"""
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103 |
+
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104 |
+
histogram = Counter([kmer[0] for kmer in kmer_distribution])
|
105 |
+
for key in sorted(histogram):
|
106 |
+
count = histogram[key]
|
107 |
+
padding = (max(histogram.values()) - count) * " "
|
108 |
+
print(f"{key:3} {'■' * count}{padding} ({count})")
|
data_structures/__pycache__/binary_search_tree.cpython-310.pyc
ADDED
Binary file (3.11 kB). View file
|
|
data_structures/__pycache__/hash_table.cpython-310.pyc
ADDED
Binary file (2.85 kB). View file
|
|
data_structures/binary_search_tree.ipynb
ADDED
@@ -0,0 +1,209 @@
|
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|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": 7,
|
6 |
+
"metadata": {},
|
7 |
+
"outputs": [],
|
8 |
+
"source": [
|
9 |
+
"class node:\n",
|
10 |
+
" # constructor\n",
|
11 |
+
" def __init__(self) -> None:\n",
|
12 |
+
" self.left = None\n",
|
13 |
+
" self.right = None\n",
|
14 |
+
" self.value = None\n",
|
15 |
+
" self.counter = 0\n",
|
16 |
+
"\n",
|
17 |
+
" def _display_aux(self):\n",
|
18 |
+
" \"\"\"Returns list of strings, width, height, and horizontal coordinate of the root.\"\"\"\n",
|
19 |
+
" # No child.\n",
|
20 |
+
" if self.right is None and self.left is None:\n",
|
21 |
+
" line = '%s : %s' % (self.counter, self.value)\n",
|
22 |
+
" width = len(line)\n",
|
23 |
+
" height = 1\n",
|
24 |
+
" middle = width // 2\n",
|
25 |
+
" return [line], width, height, middle\n",
|
26 |
+
"\n",
|
27 |
+
" # Only left child.\n",
|
28 |
+
" if self.right is None:\n",
|
29 |
+
" lines, n, p, x = self.left._display_aux() # type: ignore\n",
|
30 |
+
" s = '%s : %s' % (self.counter, self.value)\n",
|
31 |
+
" u = len(s)\n",
|
32 |
+
" first_line = (x + 1) * ' ' + (n - x - 1) * '_' + s\n",
|
33 |
+
" second_line = x * ' ' + '/' + (n - x - 1 + u) * ' '\n",
|
34 |
+
" shifted_lines = [line + u * ' ' for line in lines]\n",
|
35 |
+
" return [first_line, second_line] + shifted_lines, n + u, p + 2, n + u // 2\n",
|
36 |
+
"\n",
|
37 |
+
" # Only right child.\n",
|
38 |
+
" if self.left is None:\n",
|
39 |
+
" lines, n, p, x = self.right._display_aux()\n",
|
40 |
+
" s = '%s : %s' % (self.counter, self.value)\n",
|
41 |
+
" u = len(s)\n",
|
42 |
+
" first_line = s + x * '_' + (n - x) * ' '\n",
|
43 |
+
" second_line = (u + x) * ' ' + '\\\\' + (n - x - 1) * ' '\n",
|
44 |
+
" shifted_lines = [u * ' ' + line for line in lines]\n",
|
45 |
+
" return [first_line, second_line] + shifted_lines, n + u, p + 2, u // 2\n",
|
46 |
+
"\n",
|
47 |
+
" # Two children.\n",
|
48 |
+
" left, n, p, x = self.left._display_aux()\n",
|
49 |
+
" right, m, q, y = self.right._display_aux()\n",
|
50 |
+
" s = '%s : %s' % (self.counter, self.value)\n",
|
51 |
+
" u = len(s)\n",
|
52 |
+
" first_line = (x + 1) * ' ' + (n - x - 1) * \\\n",
|
53 |
+
" '_' + s + y * '_' + (m - y) * ' '\n",
|
54 |
+
" second_line = x * ' ' + '/' + \\\n",
|
55 |
+
" (n - x - 1 + u + y) * ' ' + '\\\\' + (m - y - 1) * ' '\n",
|
56 |
+
" if p < q:\n",
|
57 |
+
" left += [n * ' '] * (q - p)\n",
|
58 |
+
" elif q < p:\n",
|
59 |
+
" right += [m * ' '] * (p - q)\n",
|
60 |
+
" zipped_lines = zip(left, right)\n",
|
61 |
+
" lines = [first_line, second_line] + \\\n",
|
62 |
+
" [a + u * ' ' + b for a, b in zipped_lines]\n",
|
63 |
+
" return lines, n + m + u, max(p, q) + 2, n + u // 2\n",
|
64 |
+
"\n",
|
65 |
+
" \n"
|
66 |
+
]
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"cell_type": "code",
|
70 |
+
"execution_count": 8,
|
71 |
+
"metadata": {},
|
72 |
+
"outputs": [],
|
73 |
+
"source": [
|
74 |
+
"def add_node(root, value):\n",
|
75 |
+
"\n",
|
76 |
+
" # if root is null, this node must be the root\n",
|
77 |
+
" if root is None:\n",
|
78 |
+
" root = node()\n",
|
79 |
+
" root.value = value\n",
|
80 |
+
" root.counter += 1\n",
|
81 |
+
" return root\n",
|
82 |
+
" if root.value is None:\n",
|
83 |
+
" root.value = value\n",
|
84 |
+
" return\n",
|
85 |
+
" # if value is less than root.value go to left nodes\n",
|
86 |
+
" if value < root.value:\n",
|
87 |
+
" # if the left node does not exist\n",
|
88 |
+
" if(root.left is None):\n",
|
89 |
+
" root.left = node()\n",
|
90 |
+
" root.left.value = value\n",
|
91 |
+
" root.left.counter += 1\n",
|
92 |
+
" else:\n",
|
93 |
+
" root.left = add_node(root.left, value)\n",
|
94 |
+
" \n",
|
95 |
+
" if value > root.value:\n",
|
96 |
+
" if(root.right is None):\n",
|
97 |
+
" root.right = node()\n",
|
98 |
+
" root.right.value = value\n",
|
99 |
+
" root.right.counter += 1\n",
|
100 |
+
" else:\n",
|
101 |
+
" root.right = add_node(root.right, value)\n",
|
102 |
+
"\n",
|
103 |
+
" if value == root.value:\n",
|
104 |
+
" root.counter += 1\n",
|
105 |
+
"\n",
|
106 |
+
" return"
|
107 |
+
]
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"cell_type": "code",
|
111 |
+
"execution_count": 9,
|
112 |
+
"metadata": {},
|
113 |
+
"outputs": [],
|
114 |
+
"source": [
|
115 |
+
"# returns the counter of a node\n",
|
116 |
+
"def search_value(root, value):\n",
|
117 |
+
"\n",
|
118 |
+
" if root is None:\n",
|
119 |
+
" return 0\n",
|
120 |
+
" \n",
|
121 |
+
" if root == value:\n",
|
122 |
+
" return root.counter\n",
|
123 |
+
"\n",
|
124 |
+
" if value < root.value:\n",
|
125 |
+
" return search_value(root.left, value)\n",
|
126 |
+
" \n",
|
127 |
+
" if value > root.value:\n",
|
128 |
+
" return search_value(root.right, value)\n",
|
129 |
+
" \n",
|
130 |
+
" # if we are at the bottom of the tree and the value has still not been found, the value must not be within the tree"
|
131 |
+
]
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"cell_type": "code",
|
135 |
+
"execution_count": 10,
|
136 |
+
"metadata": {},
|
137 |
+
"outputs": [],
|
138 |
+
"source": [
|
139 |
+
"def destroy_tree(root):\n",
|
140 |
+
"\n",
|
141 |
+
" # if a left node exists\n",
|
142 |
+
" if root.left is not None:\n",
|
143 |
+
" # recursively destroy the left node\n",
|
144 |
+
" destroy_tree(root.left)\n",
|
145 |
+
"\n",
|
146 |
+
" # if a right node exists\n",
|
147 |
+
" if root.right is not None:\n",
|
148 |
+
" # recursively destroy the right node\n",
|
149 |
+
" destroy_tree(root.right)\n",
|
150 |
+
"\n",
|
151 |
+
" # delete the root node\n",
|
152 |
+
" del root"
|
153 |
+
]
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"cell_type": "code",
|
157 |
+
"execution_count": 11,
|
158 |
+
"metadata": {},
|
159 |
+
"outputs": [],
|
160 |
+
"source": [
|
161 |
+
"def create_tree():\n",
|
162 |
+
" return add_node(None, None)"
|
163 |
+
]
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"cell_type": "code",
|
167 |
+
"execution_count": 12,
|
168 |
+
"metadata": {},
|
169 |
+
"outputs": [],
|
170 |
+
"source": [
|
171 |
+
"def show_tree(root):\n",
|
172 |
+
"\n",
|
173 |
+
" if(root is None):\n",
|
174 |
+
" return\n",
|
175 |
+
"\n",
|
176 |
+
" lines, *_ = root._display_aux()\n",
|
177 |
+
" for line in lines:\n",
|
178 |
+
" print(line)"
|
179 |
+
]
|
180 |
+
}
|
181 |
+
],
|
182 |
+
"metadata": {
|
183 |
+
"kernelspec": {
|
184 |
+
"display_name": "Python 3.10.8 64-bit",
|
185 |
+
"language": "python",
|
186 |
+
"name": "python3"
|
187 |
+
},
|
188 |
+
"language_info": {
|
189 |
+
"codemirror_mode": {
|
190 |
+
"name": "ipython",
|
191 |
+
"version": 3
|
192 |
+
},
|
193 |
+
"file_extension": ".py",
|
194 |
+
"mimetype": "text/x-python",
|
195 |
+
"name": "python",
|
196 |
+
"nbconvert_exporter": "python",
|
197 |
+
"pygments_lexer": "ipython3",
|
198 |
+
"version": "3.10.8"
|
199 |
+
},
|
200 |
+
"orig_nbformat": 4,
|
201 |
+
"vscode": {
|
202 |
+
"interpreter": {
|
203 |
+
"hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
|
204 |
+
}
|
205 |
+
}
|
206 |
+
},
|
207 |
+
"nbformat": 4,
|
208 |
+
"nbformat_minor": 2
|
209 |
+
}
|
data_structures/binary_search_tree.py
ADDED
@@ -0,0 +1,157 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# %%
|
2 |
+
class node:
|
3 |
+
# constructor
|
4 |
+
def __init__(self) -> None:
|
5 |
+
self.left = None
|
6 |
+
self.right = None
|
7 |
+
self.value = None
|
8 |
+
self.counter = 0
|
9 |
+
|
10 |
+
def _display_aux(self):
|
11 |
+
"""Returns list of strings, width, height, and horizontal coordinate of the root."""
|
12 |
+
# No child.
|
13 |
+
if self.right is None and self.left is None:
|
14 |
+
line = '%s : %s' % (self.counter, self.value)
|
15 |
+
width = len(line)
|
16 |
+
height = 1
|
17 |
+
middle = width // 2
|
18 |
+
return [line], width, height, middle
|
19 |
+
|
20 |
+
# Only left child.
|
21 |
+
if self.right is None:
|
22 |
+
lines, n, p, x = self.left._display_aux() # type: ignore
|
23 |
+
s = '%s : %s' % (self.counter, self.value)
|
24 |
+
u = len(s)
|
25 |
+
first_line = (x + 1) * ' ' + (n - x - 1) * '_' + s
|
26 |
+
second_line = x * ' ' + '/' + (n - x - 1 + u) * ' '
|
27 |
+
shifted_lines = [line + u * ' ' for line in lines]
|
28 |
+
return [first_line, second_line] + shifted_lines, n + u, p + 2, n + u // 2
|
29 |
+
|
30 |
+
# Only right child.
|
31 |
+
if self.left is None:
|
32 |
+
lines, n, p, x = self.right._display_aux()
|
33 |
+
s = '%s : %s' % (self.counter, self.value)
|
34 |
+
u = len(s)
|
35 |
+
first_line = s + x * '_' + (n - x) * ' '
|
36 |
+
second_line = (u + x) * ' ' + '\\' + (n - x - 1) * ' '
|
37 |
+
shifted_lines = [u * ' ' + line for line in lines]
|
38 |
+
return [first_line, second_line] + shifted_lines, n + u, p + 2, u // 2
|
39 |
+
|
40 |
+
# Two children.
|
41 |
+
left, n, p, x = self.left._display_aux()
|
42 |
+
right, m, q, y = self.right._display_aux()
|
43 |
+
s = '%s : %s' % (self.counter, self.value)
|
44 |
+
u = len(s)
|
45 |
+
first_line = (x + 1) * ' ' + (n - x - 1) * \
|
46 |
+
'_' + s + y * '_' + (m - y) * ' '
|
47 |
+
second_line = x * ' ' + '/' + \
|
48 |
+
(n - x - 1 + u + y) * ' ' + '\\' + (m - y - 1) * ' '
|
49 |
+
if p < q:
|
50 |
+
left += [n * ' '] * (q - p)
|
51 |
+
elif q < p:
|
52 |
+
right += [m * ' '] * (p - q)
|
53 |
+
zipped_lines = zip(left, right)
|
54 |
+
lines = [first_line, second_line] + \
|
55 |
+
[a + u * ' ' + b for a, b in zipped_lines]
|
56 |
+
return lines, n + m + u, max(p, q) + 2, n + u // 2
|
57 |
+
|
58 |
+
|
59 |
+
# %%
|
60 |
+
def add_node(root, value):
|
61 |
+
|
62 |
+
# if root is null, this node must be the root
|
63 |
+
if root is None:
|
64 |
+
root = node()
|
65 |
+
if value is not None:
|
66 |
+
root.value = value
|
67 |
+
root.counter += 1
|
68 |
+
return root
|
69 |
+
|
70 |
+
if root.value is None and value is not None:
|
71 |
+
root.value = value
|
72 |
+
root.counter += 1
|
73 |
+
return root
|
74 |
+
|
75 |
+
# if value is less than root.value go to left nodes
|
76 |
+
if value < root.value:
|
77 |
+
root.left = add_node(root.left, value)
|
78 |
+
# if the left node does not exist
|
79 |
+
# if root.left is None:
|
80 |
+
# root.left = node()
|
81 |
+
# root.left.value = value
|
82 |
+
# if value is not None:
|
83 |
+
# root.left.counter += 1
|
84 |
+
# else:
|
85 |
+
# root.left = add_node(root.left, value)
|
86 |
+
|
87 |
+
if value > root.value:
|
88 |
+
root.right = add_node(root.right, value)
|
89 |
+
# if root.right is None:
|
90 |
+
# root.right = node()
|
91 |
+
# root.right.value = value
|
92 |
+
# if value is not None:
|
93 |
+
# root.right.counter += 1
|
94 |
+
# else:
|
95 |
+
# root.right = add_node(root.right, value)
|
96 |
+
|
97 |
+
if value == root.value and value is not None:
|
98 |
+
root.counter += 1
|
99 |
+
|
100 |
+
return root
|
101 |
+
|
102 |
+
# %%
|
103 |
+
|
104 |
+
|
105 |
+
def search_value(root, value):
|
106 |
+
|
107 |
+
if value == root.value:
|
108 |
+
return root.counter
|
109 |
+
|
110 |
+
if root is None:
|
111 |
+
return 0
|
112 |
+
|
113 |
+
if value < root.value:
|
114 |
+
return search_value(root.left, value)
|
115 |
+
|
116 |
+
if value > root.value:
|
117 |
+
return search_value(root.right, value)
|
118 |
+
|
119 |
+
# if we are at the bottom of the tree and the value has still not been found, the value must not be within the tree
|
120 |
+
|
121 |
+
# %%
|
122 |
+
|
123 |
+
|
124 |
+
def destroy_tree(root):
|
125 |
+
|
126 |
+
# if a left node exists
|
127 |
+
if root.left is not None:
|
128 |
+
# recursively destroy the left node
|
129 |
+
destroy_tree(root.left)
|
130 |
+
|
131 |
+
# if a right node exists
|
132 |
+
if root.right is not None:
|
133 |
+
# recursively destroy the right node
|
134 |
+
destroy_tree(root.right)
|
135 |
+
|
136 |
+
# delete the root node
|
137 |
+
del root
|
138 |
+
|
139 |
+
# %%
|
140 |
+
|
141 |
+
|
142 |
+
def create_tree():
|
143 |
+
return add_node(None, None)
|
144 |
+
|
145 |
+
# %%
|
146 |
+
|
147 |
+
|
148 |
+
def show_tree(root):
|
149 |
+
|
150 |
+
if (root is None):
|
151 |
+
return
|
152 |
+
|
153 |
+
lines, *_ = root._display_aux()
|
154 |
+
for line in lines:
|
155 |
+
print(line)
|
156 |
+
|
157 |
+
# %%
|
data_structures/hash_table.ipynb
ADDED
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": 3,
|
6 |
+
"metadata": {},
|
7 |
+
"outputs": [],
|
8 |
+
"source": [
|
9 |
+
"from xxhash import xxh128 as xxhash\n",
|
10 |
+
"from mmh3 import hash128 as mmh3\n",
|
11 |
+
"\n",
|
12 |
+
"class hash_table:\n",
|
13 |
+
"\n",
|
14 |
+
" # this table is designed for counting kmers\n",
|
15 |
+
" # key : kmer\n",
|
16 |
+
" # value : count\n",
|
17 |
+
"\n",
|
18 |
+
" def __init__(self, size, hashing_flag):\n",
|
19 |
+
" # set python's default hashing function as the default\n",
|
20 |
+
" DEFAULT_HASH = self.__hash__\n",
|
21 |
+
" MMH3_FLAG = \"mmh\"\n",
|
22 |
+
" XXH_FLAG = \"xxh\"\n",
|
23 |
+
"\n",
|
24 |
+
" self.size = size\n",
|
25 |
+
" # a list of keys\n",
|
26 |
+
" self.keys = [None for i in range(size)]\n",
|
27 |
+
" # a list of values\n",
|
28 |
+
" self.values = [0 for i in range(size)]\n",
|
29 |
+
" self.hash = DEFAULT_HASH\n",
|
30 |
+
" self.collision_count = 0\n",
|
31 |
+
"\n",
|
32 |
+
" if hashing_flag == XXH_FLAG or hashing_flag == 1:\n",
|
33 |
+
" self.hash = self.xxhash\n",
|
34 |
+
" if hashing_flag == MMH3_FLAG or hashing_flag == 2:\n",
|
35 |
+
" self.hash = self.mmh3\n",
|
36 |
+
"\n",
|
37 |
+
" def __len__(self):\n",
|
38 |
+
" return self.size\n",
|
39 |
+
"\n",
|
40 |
+
" def insert(self, key):\n",
|
41 |
+
" hash_index = self.hash(key)\n",
|
42 |
+
" if self.keys[hash_index] is not None:\n",
|
43 |
+
" if self.keys[hash_index] == key:\n",
|
44 |
+
" self.values[hash_index] += 1\n",
|
45 |
+
" else:\n",
|
46 |
+
" # different keys have the same hash index\n",
|
47 |
+
" # this is a collision\n",
|
48 |
+
" self.collision_count += 1\n",
|
49 |
+
" self.handle_collision(hash_index, key)\n",
|
50 |
+
" else:\n",
|
51 |
+
" self.keys[hash_index] = key\n",
|
52 |
+
" self.values[hash_index] += 1\n",
|
53 |
+
" \n",
|
54 |
+
" def search(self, key):\n",
|
55 |
+
" hash_index = self.hash(key)\n",
|
56 |
+
" # return the value if the key is found\n",
|
57 |
+
" if self.keys[hash_index] == key:\n",
|
58 |
+
" return self.values[hash_index]\n",
|
59 |
+
"\n",
|
60 |
+
" return None\n",
|
61 |
+
"\n",
|
62 |
+
" def delete(self, key):\n",
|
63 |
+
" hash_index = self.hash(key)\n",
|
64 |
+
" # delete the key value pair if the key is found\n",
|
65 |
+
" if self.keys[hash_index] == key:\n",
|
66 |
+
" self.values[hash_index] = 0\n",
|
67 |
+
" self.keys[hash_index] = None\n",
|
68 |
+
"\n",
|
69 |
+
" def handle_collision(self, hash_index, key):\n",
|
70 |
+
" def linear_probing(key):\n",
|
71 |
+
" return (key + 1) % self.size\n",
|
72 |
+
"\n",
|
73 |
+
" while self.keys[hash_index] is not None:\n",
|
74 |
+
" hash_index = linear_probing(hash_index)\n",
|
75 |
+
" if hash_index > self.size:\n",
|
76 |
+
" return \n",
|
77 |
+
"\n",
|
78 |
+
" self.keys[hash_index] = key\n",
|
79 |
+
" self.values[hash_index] += 1\n",
|
80 |
+
" return\n",
|
81 |
+
"\n",
|
82 |
+
" def __hash__(self, key):\n",
|
83 |
+
" return hash(key) % self.size\n",
|
84 |
+
"\n",
|
85 |
+
" def xxhash(self, key):\n",
|
86 |
+
" return xxhash(key).intdigest() % self.size\n",
|
87 |
+
" \n",
|
88 |
+
" def mmh3(self, key):\n",
|
89 |
+
" return mmh3(key, signed=False) % self.size\n",
|
90 |
+
"\n",
|
91 |
+
" def print(self):\n",
|
92 |
+
" for i in range(self.size):\n",
|
93 |
+
" if self.keys[i] is not None:\n",
|
94 |
+
" print(f\"{self.keys[i]} : {self.values[i]}\")"
|
95 |
+
]
|
96 |
+
}
|
97 |
+
],
|
98 |
+
"metadata": {
|
99 |
+
"kernelspec": {
|
100 |
+
"display_name": "Python 3.10.8 64-bit",
|
101 |
+
"language": "python",
|
102 |
+
"name": "python3"
|
103 |
+
},
|
104 |
+
"language_info": {
|
105 |
+
"codemirror_mode": {
|
106 |
+
"name": "ipython",
|
107 |
+
"version": 3
|
108 |
+
},
|
109 |
+
"file_extension": ".py",
|
110 |
+
"mimetype": "text/x-python",
|
111 |
+
"name": "python",
|
112 |
+
"nbconvert_exporter": "python",
|
113 |
+
"pygments_lexer": "ipython3",
|
114 |
+
"version": "3.10.8"
|
115 |
+
},
|
116 |
+
"orig_nbformat": 4,
|
117 |
+
"vscode": {
|
118 |
+
"interpreter": {
|
119 |
+
"hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
|
120 |
+
}
|
121 |
+
}
|
122 |
+
},
|
123 |
+
"nbformat": 4,
|
124 |
+
"nbformat_minor": 2
|
125 |
+
}
|
data_structures/hash_table.py
ADDED
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# %%
|
2 |
+
from xxhash import xxh128 as xxhash
|
3 |
+
from mmh3 import hash128 as mmh3
|
4 |
+
|
5 |
+
|
6 |
+
class hash_table:
|
7 |
+
|
8 |
+
# this table is designed for counting kmers
|
9 |
+
# key : kmer
|
10 |
+
# value : count
|
11 |
+
|
12 |
+
def __init__(self, size, hashing_flag):
|
13 |
+
# set python's default hashing function as the default
|
14 |
+
DEFAULT_HASH = self.hasher
|
15 |
+
MMH3_FLAG = "mmh"
|
16 |
+
XXH_FLAG = "xxh"
|
17 |
+
|
18 |
+
self.size = size
|
19 |
+
# a list of keys
|
20 |
+
self.keys = [None for i in range(size)]
|
21 |
+
# a list of values
|
22 |
+
self.values = [0 for i in range(size)]
|
23 |
+
self.hash = DEFAULT_HASH
|
24 |
+
self.collision_count = 0
|
25 |
+
|
26 |
+
if hashing_flag == XXH_FLAG or hashing_flag == 1:
|
27 |
+
self.hash = self.xxhash
|
28 |
+
if hashing_flag == MMH3_FLAG or hashing_flag == 2:
|
29 |
+
self.hash = self.mmh3
|
30 |
+
|
31 |
+
def __len__(self):
|
32 |
+
return self.size
|
33 |
+
|
34 |
+
def insert(self, key):
|
35 |
+
hash_index = self.hash(key)
|
36 |
+
if self.keys[hash_index] is not None:
|
37 |
+
if self.keys[hash_index] == key:
|
38 |
+
self.values[hash_index] += 1
|
39 |
+
else:
|
40 |
+
# different keys have the same hash index
|
41 |
+
# this is a collision
|
42 |
+
self.collision_count += 1
|
43 |
+
self.handle_collision(hash_index, key)
|
44 |
+
else:
|
45 |
+
self.keys[hash_index] = key
|
46 |
+
self.values[hash_index] += 1
|
47 |
+
|
48 |
+
def search(self, key):
|
49 |
+
hash_index = self.hash(key)
|
50 |
+
# return the value if the key is found
|
51 |
+
if self.keys[hash_index] == key:
|
52 |
+
return self.values[hash_index]
|
53 |
+
|
54 |
+
return None
|
55 |
+
|
56 |
+
def delete(self, key):
|
57 |
+
hash_index = self.hash(key)
|
58 |
+
# delete the key value pair if the key is found
|
59 |
+
if self.keys[hash_index] == key:
|
60 |
+
self.values[hash_index] = 0
|
61 |
+
self.keys[hash_index] = None
|
62 |
+
|
63 |
+
def handle_collision(self, hash_index, key):
|
64 |
+
def linear_probing(key):
|
65 |
+
return (key + 1) % self.size
|
66 |
+
|
67 |
+
while self.keys[hash_index] is not None:
|
68 |
+
hash_index = linear_probing(hash_index)
|
69 |
+
if hash_index > self.size:
|
70 |
+
return
|
71 |
+
|
72 |
+
self.keys[hash_index] = key
|
73 |
+
self.values[hash_index] += 1
|
74 |
+
|
75 |
+
def hasher(self, key):
|
76 |
+
return hash(key) % self.size
|
77 |
+
|
78 |
+
def xxhash(self, key):
|
79 |
+
return xxhash(key).intdigest() % self.size
|
80 |
+
|
81 |
+
def mmh3(self, key):
|
82 |
+
return mmh3(key, signed=False) % self.size
|
83 |
+
|
84 |
+
def print(self):
|
85 |
+
for i in range(self.size):
|
86 |
+
if self.keys[i] is not None:
|
87 |
+
print(f"{self.keys[i]} : {self.values[i]}")
|
hash_table_kmer_distribution.ipynb
ADDED
@@ -0,0 +1,4186 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "raw",
|
5 |
+
"metadata": {},
|
6 |
+
"source": [
|
7 |
+
"---\n",
|
8 |
+
"title: K-mer distribution table Hash Table\n",
|
9 |
+
"description: Generate a k-mer distribution table using a binary search tree\n",
|
10 |
+
"show-code: False\n",
|
11 |
+
"format:\n",
|
12 |
+
" theme: night\n",
|
13 |
+
"params:\n",
|
14 |
+
" dna_string:\n",
|
15 |
+
" input: text\n",
|
16 |
+
" label: input dna_string\n",
|
17 |
+
" value: ACGT\n",
|
18 |
+
" dna_len:\n",
|
19 |
+
" input: numeric\n",
|
20 |
+
" label: input dna_length\n",
|
21 |
+
" value: 100\n",
|
22 |
+
" min: 5\n",
|
23 |
+
" max: 10000000000\n",
|
24 |
+
" step: 10\n",
|
25 |
+
" kmer_size:\n",
|
26 |
+
" input: numeric\n",
|
27 |
+
" label: input kmer_length\n",
|
28 |
+
" value: 7\n",
|
29 |
+
" min: 1\n",
|
30 |
+
" max: 1000\n",
|
31 |
+
" step: 1\n",
|
32 |
+
"---"
|
33 |
+
]
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"cell_type": "markdown",
|
37 |
+
"metadata": {},
|
38 |
+
"source": [
|
39 |
+
"Edit the cell below to input your desired values. You can also input values using the input scanner."
|
40 |
+
]
|
41 |
+
},
|
42 |
+
{
|
43 |
+
"cell_type": "code",
|
44 |
+
"execution_count": 6,
|
45 |
+
"metadata": {},
|
46 |
+
"outputs": [],
|
47 |
+
"source": [
|
48 |
+
"dna_string = \"ACGT\"\n",
|
49 |
+
"dna_len = 10**6\n",
|
50 |
+
"kmer_size = 5"
|
51 |
+
]
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"cell_type": "code",
|
55 |
+
"execution_count": 7,
|
56 |
+
"metadata": {},
|
57 |
+
"outputs": [],
|
58 |
+
"source": [
|
59 |
+
"from data_processing import generate_kmers as generator\n",
|
60 |
+
"from data_processing import graph_distribution as graph\n",
|
61 |
+
"from data_structures import hash_table as hashing\n",
|
62 |
+
"from data_processing import distribution_parser as parse\n",
|
63 |
+
"\n",
|
64 |
+
"import time"
|
65 |
+
]
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"cell_type": "code",
|
69 |
+
"execution_count": 8,
|
70 |
+
"metadata": {},
|
71 |
+
"outputs": [],
|
72 |
+
"source": [
|
73 |
+
"def generate_table(kmer_list, hashing_function):\n",
|
74 |
+
" \"\"\"\n",
|
75 |
+
" Generates a hash table from a list of kmers and the desired hashing function\n",
|
76 |
+
" \"\"\"\n",
|
77 |
+
" list_len = len(kmer_list)\n",
|
78 |
+
" table = hashing.hash_table(list_len, hashing_function)\n",
|
79 |
+
" for kmer in kmer_list:\n",
|
80 |
+
" table.insert(kmer)\n",
|
81 |
+
"\n",
|
82 |
+
" return table"
|
83 |
+
]
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"cell_type": "code",
|
87 |
+
"execution_count": 9,
|
88 |
+
"metadata": {},
|
89 |
+
"outputs": [],
|
90 |
+
"source": [
|
91 |
+
"def test_hash_table(dna_string, dna_len, kmer_size):\n",
|
92 |
+
" \"\"\"\n",
|
93 |
+
" Utility function to test the hash table\n",
|
94 |
+
" \"\"\"\n",
|
95 |
+
" alphabet = dna_string\n",
|
96 |
+
" if dna_string is None:\n",
|
97 |
+
" alphabet = input(\"Enter the alphabet: \")\n",
|
98 |
+
" \n",
|
99 |
+
" dna_length = dna_len\n",
|
100 |
+
" if dna_len is None:\n",
|
101 |
+
" dna_length = (input(\"Enter the length of the DNA string: \"))\n",
|
102 |
+
" dna_length = parse.parse_math_expression(dna_length) \n",
|
103 |
+
"\n",
|
104 |
+
" k_mer = kmer_size\n",
|
105 |
+
" if kmer_size is None:\n",
|
106 |
+
" k_mer = input(\"Enter the length of the kmer: \")\n",
|
107 |
+
" k_mer = parse.parse_math_expression(k_mer)\n",
|
108 |
+
"\n",
|
109 |
+
" # generate the DNA sequence\n",
|
110 |
+
" DNA_SEQUENCE = generator.create_dna_sequence(alphabet, dna_length)\n",
|
111 |
+
"\n",
|
112 |
+
" # generate the list of k-mers\n",
|
113 |
+
" kmer_list = generator.generate_kmers(DNA_SEQUENCE, k_mer)\n",
|
114 |
+
"\n",
|
115 |
+
" # test the mmh3 hashing function\n",
|
116 |
+
" start = time.time()\n",
|
117 |
+
" mmh3_table = generate_table(kmer_list, \"mmh\")\n",
|
118 |
+
" end = time.time()\n",
|
119 |
+
"\n",
|
120 |
+
" mmh3_insertion_time = end - start\n",
|
121 |
+
"\n",
|
122 |
+
" # test the xxh hashing function\n",
|
123 |
+
" start = time.time()\n",
|
124 |
+
" xxh_table = generate_table(kmer_list, \"xxh\")\n",
|
125 |
+
" end = time.time()\n",
|
126 |
+
"\n",
|
127 |
+
" xxh_insertion_time = end - start\n",
|
128 |
+
" # generate the distributions\n",
|
129 |
+
" start = time.time()\n",
|
130 |
+
" mmh3_distribution = parse.parse_table(mmh3_table, kmer_list)\n",
|
131 |
+
" end = time.time()\n",
|
132 |
+
"\n",
|
133 |
+
" mmh_parsing_time = end - start\n",
|
134 |
+
"\n",
|
135 |
+
" start = time.time()\n",
|
136 |
+
" xxh_distribution = parse.parse_table(xxh_table, kmer_list)\n",
|
137 |
+
" end = time.time()\n",
|
138 |
+
"\n",
|
139 |
+
" xxh_parsing_time = end - start\n",
|
140 |
+
"\n",
|
141 |
+
" tabulated_data = {\n",
|
142 |
+
" \"Hash Function\": [\"mmh3\", \"xxh\"],\n",
|
143 |
+
" \"Insertion Time\": [mmh3_insertion_time, xxh_insertion_time],\n",
|
144 |
+
" \"Parsing Time\": [mmh_parsing_time, xxh_parsing_time],\n",
|
145 |
+
" \"Collisions\": [mmh3_table.collision_count, xxh_table.collision_count]\n",
|
146 |
+
" }\n",
|
147 |
+
"\n",
|
148 |
+
" graph.print_hashing_statistics(tabulated_data, alphabet + str(dna_length) + \" \" + str(k_mer) + \"mers\")\n",
|
149 |
+
" unique_kmers = parse.get_unique_kmers(xxh_distribution)\n",
|
150 |
+
" graph.bar_graph(xxh_distribution)\n",
|
151 |
+
"\n",
|
152 |
+
" if len(unique_kmers) == 0:\n",
|
153 |
+
" print(\"No unique k-mers found\")\n",
|
154 |
+
" else:\n",
|
155 |
+
" print(f\"Unique k-mers: {len(unique_kmers)}\")\n",
|
156 |
+
" graph.bar_graph(unique_kmers)\n",
|
157 |
+
"\n",
|
158 |
+
" if (len(xxh_distribution) > 100):\n",
|
159 |
+
" print(\"Most common 10% kmers: \")\n",
|
160 |
+
" most_common_kmers = parse.get_most_common_kmers(xxh_distribution, int(len(xxh_distribution) * 0.10))\n",
|
161 |
+
" graph.bar_graph(most_common_kmers)\n",
|
162 |
+
"\n",
|
163 |
+
" # the distribution of one is the same as the other\n",
|
164 |
+
" # graph.bar_graph(mmh3_distribution)\n"
|
165 |
+
]
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"cell_type": "code",
|
169 |
+
"execution_count": 10,
|
170 |
+
"metadata": {},
|
171 |
+
"outputs": [
|
172 |
+
{
|
173 |
+
"name": "stdout",
|
174 |
+
"output_type": "stream",
|
175 |
+
"text": [
|
176 |
+
"+------------------------------------------------------------------------+\n",
|
177 |
+
"| ACGT1000000 5mers |\n",
|
178 |
+
"+---------------+--------------------+----------------------+------------+\n",
|
179 |
+
"| Hash Function | Insertion Time | Parsing Time | Collisions |\n",
|
180 |
+
"+---------------+--------------------+----------------------+------------+\n",
|
181 |
+
"| mmh3 | 1.2975947856903076 | 0.06290507316589355 | 1935 |\n",
|
182 |
+
"| xxh | 0.805696964263916 | 0.026388883590698242 | 0 |\n",
|
183 |
+
"+---------------+--------------------+----------------------+------------+\n"
|
184 |
+
]
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"data": {
|
188 |
+
"application/vnd.plotly.v1+json": {
|
189 |
+
"config": {
|
190 |
+
"plotlyServerURL": "https://plot.ly"
|
191 |
+
},
|
192 |
+
"data": [
|
193 |
+
{
|
194 |
+
"type": "bar",
|
195 |
+
"x": [
|
196 |
+
"GCCGC",
|
197 |
+
"TTTGT",
|
198 |
+
"GCCGG",
|
199 |
+
"TAGCA",
|
200 |
+
"GGTTG",
|
201 |
+
"TACGG",
|
202 |
+
"CCCCA",
|
203 |
+
"GATGT",
|
204 |
+
"CACTA",
|
205 |
+
"CGTTA",
|
206 |
+
"CACCA",
|
207 |
+
"ACGAG",
|
208 |
+
"TGCAA",
|
209 |
+
"AAATC",
|
210 |
+
"AGATA",
|
211 |
+
"CGCAT",
|
212 |
+
"GGGTA",
|
213 |
+
"GTCAG",
|
214 |
+
"AGGTG",
|
215 |
+
"TACCA",
|
216 |
+
"TGGAG",
|
217 |
+
"TTTAT",
|
218 |
+
"CACGG",
|
219 |
+
"TATTC",
|
220 |
+
"TAATT",
|
221 |
+
"AGCGA",
|
222 |
+
"AGTTA",
|
223 |
+
"TGTTT",
|
224 |
+
"GCGAT",
|
225 |
+
"TTTGG",
|
226 |
+
"ACCTC",
|
227 |
+
"TTCAT",
|
228 |
+
"TGCGA",
|
229 |
+
"ATCGA",
|
230 |
+
"GAATA",
|
231 |
+
"GTGAG",
|
232 |
+
"GCTTG",
|
233 |
+
"CAGGT",
|
234 |
+
"AACCC",
|
235 |
+
"GGCAC",
|
236 |
+
"AAACT",
|
237 |
+
"GGATT",
|
238 |
+
"CTGTC",
|
239 |
+
"TCTAT",
|
240 |
+
"TTACC",
|
241 |
+
"CCGAT",
|
242 |
+
"ACAGA",
|
243 |
+
"ACTAT",
|
244 |
+
"CGGTT",
|
245 |
+
"CTTGT",
|
246 |
+
"ACTTT",
|
247 |
+
"CTTTT",
|
248 |
+
"TTAAA",
|
249 |
+
"CTCAT",
|
250 |
+
"GTCTA",
|
251 |
+
"GCTGG",
|
252 |
+
"CCAAG",
|
253 |
+
"TTGGC",
|
254 |
+
"AGCAA",
|
255 |
+
"GTTGA",
|
256 |
+
"CAAAT",
|
257 |
+
"CACCC",
|
258 |
+
"GCAGG",
|
259 |
+
"GTGTC",
|
260 |
+
"ACCTA",
|
261 |
+
"TTCAC",
|
262 |
+
"GCTAT",
|
263 |
+
"CTAGT",
|
264 |
+
"TTGGG",
|
265 |
+
"TCAGG",
|
266 |
+
"CAATA",
|
267 |
+
"ACGGT",
|
268 |
+
"CATGC",
|
269 |
+
"GATAC",
|
270 |
+
"TGGCT",
|
271 |
+
"GCGTC",
|
272 |
+
"ATTTC",
|
273 |
+
"GGTAC",
|
274 |
+
"CGTCA",
|
275 |
+
"CTATA",
|
276 |
+
"GAACG",
|
277 |
+
"GCGGG",
|
278 |
+
"ATCGC",
|
279 |
+
"AGCTG",
|
280 |
+
"CAACG",
|
281 |
+
"ATAAG",
|
282 |
+
"AGTCC",
|
283 |
+
"GTTTC",
|
284 |
+
"AAAAC",
|
285 |
+
"GCACC",
|
286 |
+
"ACATT",
|
287 |
+
"CTGGA",
|
288 |
+
"CTGTT",
|
289 |
+
"GCTCA",
|
290 |
+
"ATTCC",
|
291 |
+
"CCCTG",
|
292 |
+
"GTGGA",
|
293 |
+
"TCCCA",
|
294 |
+
"AATGG",
|
295 |
+
"CTCAA",
|
296 |
+
"CTATG",
|
297 |
+
"TCAAG",
|
298 |
+
"AGCTA",
|
299 |
+
"CGTCG",
|
300 |
+
"GGAGC",
|
301 |
+
"CCTCA",
|
302 |
+
"GTCGT",
|
303 |
+
"CGTAC",
|
304 |
+
"GACAT",
|
305 |
+
"GGGGG",
|
306 |
+
"AGGTC",
|
307 |
+
"TAGGG",
|
308 |
+
"TCGCA",
|
309 |
+
"CCTCG",
|
310 |
+
"ATACA",
|
311 |
+
"TTTAA",
|
312 |
+
"AACGA",
|
313 |
+
"TGCCA",
|
314 |
+
"GTGTA",
|
315 |
+
"AATAT",
|
316 |
+
"ATCGT",
|
317 |
+
"CCATG",
|
318 |
+
"TGACC",
|
319 |
+
"ATGGG",
|
320 |
+
"AATAC",
|
321 |
+
"AAATT",
|
322 |
+
"GGCGA",
|
323 |
+
"CCTCC",
|
324 |
+
"TGGAA",
|
325 |
+
"CGAGA",
|
326 |
+
"TCCAA",
|
327 |
+
"CTAGA",
|
328 |
+
"TCTCG",
|
329 |
+
"TGAAG",
|
330 |
+
"CACTG",
|
331 |
+
"TTTTT",
|
332 |
+
"AGGAA",
|
333 |
+
"TTAAT",
|
334 |
+
"ACAAG",
|
335 |
+
"GGGGA",
|
336 |
+
"CATGA",
|
337 |
+
"GGTGG",
|
338 |
+
"TTATA",
|
339 |
+
"CCACG",
|
340 |
+
"AGCGC",
|
341 |
+
"TCGAG",
|
342 |
+
"TAATC",
|
343 |
+
"TCCGG",
|
344 |
+
"CCAAT",
|
345 |
+
"TTTGA",
|
346 |
+
"TGAAC",
|
347 |
+
"ACACG",
|
348 |
+
"ACGTA",
|
349 |
+
"ACACT",
|
350 |
+
"TCAGT",
|
351 |
+
"CAAGT",
|
352 |
+
"CGTAG",
|
353 |
+
"CCCTA",
|
354 |
+
"GGCGC",
|
355 |
+
"GCCAC",
|
356 |
+
"TCCCG",
|
357 |
+
"AATCC",
|
358 |
+
"ACAAT",
|
359 |
+
"CGACT",
|
360 |
+
"GGTCT",
|
361 |
+
"TCCCT",
|
362 |
+
"CCGCC",
|
363 |
+
"AATTC",
|
364 |
+
"TGGCC",
|
365 |
+
"CTGTG",
|
366 |
+
"CCCCT",
|
367 |
+
"TAGAG",
|
368 |
+
"AATTA",
|
369 |
+
"CCCAG",
|
370 |
+
"CTCGT",
|
371 |
+
"TATGG",
|
372 |
+
"TGTCG",
|
373 |
+
"GTACG",
|
374 |
+
"GTTTA",
|
375 |
+
"TCTTA",
|
376 |
+
"TCACG",
|
377 |
+
"CATAT",
|
378 |
+
"AATCT",
|
379 |
+
"TTACA",
|
380 |
+
"CTTGC",
|
381 |
+
"CGACA",
|
382 |
+
"AACTG",
|
383 |
+
"TAATA",
|
384 |
+
"CAGTG",
|
385 |
+
"CCTGG",
|
386 |
+
"ATTAC",
|
387 |
+
"AATAG",
|
388 |
+
"GAGCT",
|
389 |
+
"CGACC",
|
390 |
+
"GAGAT",
|
391 |
+
"CGATC",
|
392 |
+
"ACTAG",
|
393 |
+
"GGATG",
|
394 |
+
"CGGGT",
|
395 |
+
"GGCGG",
|
396 |
+
"CCACA",
|
397 |
+
"AAAAG",
|
398 |
+
"CCAAA",
|
399 |
+
"GTTCG",
|
400 |
+
"CCCAC",
|
401 |
+
"GAGAG",
|
402 |
+
"CCGGC",
|
403 |
+
"ACAGT",
|
404 |
+
"AGTGG",
|
405 |
+
"CGTAA",
|
406 |
+
"CAATG",
|
407 |
+
"ACATC",
|
408 |
+
"ATATT",
|
409 |
+
"ATCTC",
|
410 |
+
"CATAA",
|
411 |
+
"AATAA",
|
412 |
+
"GATCG",
|
413 |
+
"GTGTG",
|
414 |
+
"CATTC",
|
415 |
+
"GGGAT",
|
416 |
+
"TAGCG",
|
417 |
+
"GGAGA",
|
418 |
+
"ATATA",
|
419 |
+
"GACAG",
|
420 |
+
"CCTAC",
|
421 |
+
"CACAC",
|
422 |
+
"ATCTT",
|
423 |
+
"ACGAA",
|
424 |
+
"ACCAC",
|
425 |
+
"TGTGT",
|
426 |
+
"CATAC",
|
427 |
+
"CCGGT",
|
428 |
+
"GGTAA",
|
429 |
+
"TGGTA",
|
430 |
+
"TGCAC",
|
431 |
+
"GAACA",
|
432 |
+
"CTGGG",
|
433 |
+
"GAGCG",
|
434 |
+
"CCATT",
|
435 |
+
"AACCG",
|
436 |
+
"TCATA",
|
437 |
+
"TCGTC",
|
438 |
+
"CCGTC",
|
439 |
+
"CCAGT",
|
440 |
+
"GTAAG",
|
441 |
+
"AGCGT",
|
442 |
+
"CCGCT",
|
443 |
+
"CCGTG",
|
444 |
+
"TCATG",
|
445 |
+
"TTAAC",
|
446 |
+
"TTGTT",
|
447 |
+
"ATCAT",
|
448 |
+
"CGCTT",
|
449 |
+
"AAGCT",
|
450 |
+
"ATCCA",
|
451 |
+
"CGGTG",
|
452 |
+
"GATGG",
|
453 |
+
"ACGAT",
|
454 |
+
"TATTA",
|
455 |
+
"CCTTG",
|
456 |
+
"TTGAT",
|
457 |
+
"CACCT",
|
458 |
+
"CCTGA",
|
459 |
+
"ATGAC",
|
460 |
+
"TATAC",
|
461 |
+
"TGGGG",
|
462 |
+
"AACTA",
|
463 |
+
"TCCTG",
|
464 |
+
"ATTAG",
|
465 |
+
"GGTCG",
|
466 |
+
"GAGGA",
|
467 |
+
"CCGGG",
|
468 |
+
"ACGGG",
|
469 |
+
"GGCGT",
|
470 |
+
"GTCCA",
|
471 |
+
"CATGT",
|
472 |
+
"TTCGA",
|
473 |
+
"GACCG",
|
474 |
+
"GCCCA",
|
475 |
+
"TGAGC",
|
476 |
+
"GCCGA",
|
477 |
+
"AACAG",
|
478 |
+
"GGGGT",
|
479 |
+
"GAAAC",
|
480 |
+
"TGTTA",
|
481 |
+
"GACCT",
|
482 |
+
"TCCAC",
|
483 |
+
"ATCTA",
|
484 |
+
"CTTCG",
|
485 |
+
"TCAGC",
|
486 |
+
"ATTGT",
|
487 |
+
"CTTTG",
|
488 |
+
"TGTCA",
|
489 |
+
"ACGGC",
|
490 |
+
"TACTG",
|
491 |
+
"TTCAA",
|
492 |
+
"GACCC",
|
493 |
+
"TACTA",
|
494 |
+
"GAATC",
|
495 |
+
"TCTTT",
|
496 |
+
"TTGTA",
|
497 |
+
"TCTAA",
|
498 |
+
"CATTG",
|
499 |
+
"ATTAA",
|
500 |
+
"GACAC",
|
501 |
+
"GAAGT",
|
502 |
+
"CACAG",
|
503 |
+
"GTATA",
|
504 |
+
"CAGTA",
|
505 |
+
"TGAAT",
|
506 |
+
"CGAAA",
|
507 |
+
"CCCGT",
|
508 |
+
"CTTCA",
|
509 |
+
"GTGGG",
|
510 |
+
"GAAGG",
|
511 |
+
"CACAA",
|
512 |
+
"GCTAG",
|
513 |
+
"AGCTC",
|
514 |
+
"AGGCC",
|
515 |
+
"GGAGG",
|
516 |
+
"GCGGC",
|
517 |
+
"TTCCC",
|
518 |
+
"TTTTC",
|
519 |
+
"AGAAA",
|
520 |
+
"TTTGC",
|
521 |
+
"ACAGG",
|
522 |
+
"CAGCC",
|
523 |
+
"ACTCA",
|
524 |
+
"CAGCG",
|
525 |
+
"GTTAC",
|
526 |
+
"GAAGA",
|
527 |
+
"CGCCG",
|
528 |
+
"AACAC",
|
529 |
+
"ACCCT",
|
530 |
+
"GCCTC",
|
531 |
+
"ATAAT",
|
532 |
+
"TACAG",
|
533 |
+
"AATTT",
|
534 |
+
"CGGTC",
|
535 |
+
"AAAGA",
|
536 |
+
"GACTT",
|
537 |
+
"CGAAG",
|
538 |
+
"AACTC",
|
539 |
+
"GCGTT",
|
540 |
+
"ACCGA",
|
541 |
+
"AGCCT",
|
542 |
+
"TCCAG",
|
543 |
+
"AAACA",
|
544 |
+
"GATCT",
|
545 |
+
"CACCG",
|
546 |
+
"CGTGT",
|
547 |
+
"TAGTA",
|
548 |
+
"TTTAG",
|
549 |
+
"CGAGG",
|
550 |
+
"GCAGT",
|
551 |
+
"AACGC",
|
552 |
+
"GGGTG",
|
553 |
+
"CTACC",
|
554 |
+
"GGGGC",
|
555 |
+
"TGACT",
|
556 |
+
"AATGA",
|
557 |
+
"ATGGT",
|
558 |
+
"AAGGT",
|
559 |
+
"ACGCT",
|
560 |
+
"ATGTT",
|
561 |
+
"GATGC",
|
562 |
+
"AGATG",
|
563 |
+
"CATCC",
|
564 |
+
"GACGG",
|
565 |
+
"AAACC",
|
566 |
+
"ATAGC",
|
567 |
+
"GTTTT",
|
568 |
+
"AGTTG",
|
569 |
+
"AAGAA",
|
570 |
+
"TACTT",
|
571 |
+
"CTACA",
|
572 |
+
"TCGGC",
|
573 |
+
"GCCCG",
|
574 |
+
"ACCAA",
|
575 |
+
"AAGAT",
|
576 |
+
"GACGA",
|
577 |
+
"ACGTT",
|
578 |
+
"CAACC",
|
579 |
+
"CAATC",
|
580 |
+
"CTCGA",
|
581 |
+
"ACCGT",
|
582 |
+
"GGACT",
|
583 |
+
"AATGT",
|
584 |
+
"GCATT",
|
585 |
+
"CTAGC",
|
586 |
+
"CTTTC",
|
587 |
+
"AGACC",
|
588 |
+
"TTTTG",
|
589 |
+
"TTAGC",
|
590 |
+
"AGTAT",
|
591 |
+
"CTCCC",
|
592 |
+
"GATAT",
|
593 |
+
"CTAAT",
|
594 |
+
"AAATA",
|
595 |
+
"ATTGG",
|
596 |
+
"AAAAT",
|
597 |
+
"TTTCT",
|
598 |
+
"TCGTA",
|
599 |
+
"ACTGT",
|
600 |
+
"TCACC",
|
601 |
+
"ACTCT",
|
602 |
+
"GAGTA",
|
603 |
+
"GTAGT",
|
604 |
+
"ACTAC",
|
605 |
+
"TTCTA",
|
606 |
+
"ATGCT",
|
607 |
+
"AGATC",
|
608 |
+
"CAAGC",
|
609 |
+
"CAAAA",
|
610 |
+
"TAACC",
|
611 |
+
"GCTTC",
|
612 |
+
"CCTGC",
|
613 |
+
"ATAAC",
|
614 |
+
"GTCGG",
|
615 |
+
"AGGCG",
|
616 |
+
"CCGCG",
|
617 |
+
"GAGTC",
|
618 |
+
"GGCTG",
|
619 |
+
"GTGCG",
|
620 |
+
"AGGCA",
|
621 |
+
"TCGCG",
|
622 |
+
"CTTAC",
|
623 |
+
"TGATG",
|
624 |
+
"TTCGC",
|
625 |
+
"TGAAA",
|
626 |
+
"TACGA",
|
627 |
+
"CCGCA",
|
628 |
+
"GCAAG",
|
629 |
+
"ACTAA",
|
630 |
+
"GGACA",
|
631 |
+
"TACTC",
|
632 |
+
"GGTCC",
|
633 |
+
"TTCTC",
|
634 |
+
"AGATT",
|
635 |
+
"GTGCC",
|
636 |
+
"GGGTC",
|
637 |
+
"AGCGG",
|
638 |
+
"TTCCT",
|
639 |
+
"CGTTG",
|
640 |
+
"GGGAC",
|
641 |
+
"CTTTA",
|
642 |
+
"AAGAG",
|
643 |
+
"ACTCC",
|
644 |
+
"TCGGG",
|
645 |
+
"GCTTA",
|
646 |
+
"GGCTC",
|
647 |
+
"TGATA",
|
648 |
+
"CACGT",
|
649 |
+
"CGGAA",
|
650 |
+
"ACCCG",
|
651 |
+
"GGCCA",
|
652 |
+
"GTATG",
|
653 |
+
"AAGCC",
|
654 |
+
"CGGGA",
|
655 |
+
"TCTTC",
|
656 |
+
"AGCAT",
|
657 |
+
"CTGAC",
|
658 |
+
"ATAAA",
|
659 |
+
"TAGCC",
|
660 |
+
"AATTG",
|
661 |
+
"GGCTT",
|
662 |
+
"TCTGT",
|
663 |
+
"GTAGA",
|
664 |
+
"AGTGA",
|
665 |
+
"ATTTA",
|
666 |
+
"ATATC",
|
667 |
+
"GCGTA",
|
668 |
+
"GGGAG",
|
669 |
+
"GGCCT",
|
670 |
+
"GCGTG",
|
671 |
+
"ACTGA",
|
672 |
+
"TCCCC",
|
673 |
+
"CAGCT",
|
674 |
+
"CAGCA",
|
675 |
+
"TCTCC",
|
676 |
+
"ATGGC",
|
677 |
+
"TAGTT",
|
678 |
+
"GGAAG",
|
679 |
+
"CCCGG",
|
680 |
+
"GAGAC",
|
681 |
+
"CCCAT",
|
682 |
+
"CATCA",
|
683 |
+
"CTCAC",
|
684 |
+
"CGGGG",
|
685 |
+
"GTCAT",
|
686 |
+
"TAGGA",
|
687 |
+
"TATAA",
|
688 |
+
"CTCCG",
|
689 |
+
"TAAAG",
|
690 |
+
"ATCAG",
|
691 |
+
"TTTCG",
|
692 |
+
"TATGT",
|
693 |
+
"GCCAA",
|
694 |
+
"AAACG",
|
695 |
+
"TCCTT",
|
696 |
+
"TATGC",
|
697 |
+
"GAGGC",
|
698 |
+
"GGCCC",
|
699 |
+
"TAAAA",
|
700 |
+
"TCTAC",
|
701 |
+
"TTGCA",
|
702 |
+
"CTCTG",
|
703 |
+
"TCTCT",
|
704 |
+
"TCTAG",
|
705 |
+
"CAGGG",
|
706 |
+
"ACCAG",
|
707 |
+
"GCTCC",
|
708 |
+
"GCACT",
|
709 |
+
"GAGTT",
|
710 |
+
"GCCTA",
|
711 |
+
"GAGCC",
|
712 |
+
"CCGAG",
|
713 |
+
"TGCGT",
|
714 |
+
"AGTGT",
|
715 |
+
"TCAAT",
|
716 |
+
"TAGGC",
|
717 |
+
"GGGTT",
|
718 |
+
"TAACG",
|
719 |
+
"CGGAT",
|
720 |
+
"AGGAT",
|
721 |
+
"TCGGA",
|
722 |
+
"TTGAG",
|
723 |
+
"CCCAA",
|
724 |
+
"ATGCA",
|
725 |
+
"CGTGC",
|
726 |
+
"CTGAT",
|
727 |
+
"CCGAC",
|
728 |
+
"TATTT",
|
729 |
+
"GTACC",
|
730 |
+
"ATTGA",
|
731 |
+
"TCAAA",
|
732 |
+
"CCCTC",
|
733 |
+
"GTTGT",
|
734 |
+
"CCAGA",
|
735 |
+
"GTCTC",
|
736 |
+
"CTATT",
|
737 |
+
"ATCCC",
|
738 |
+
"AAAGT",
|
739 |
+
"TAGTC",
|
740 |
+
"TCGGT",
|
741 |
+
"TTCTG",
|
742 |
+
"CGGCA",
|
743 |
+
"GGCAG",
|
744 |
+
"GAATT",
|
745 |
+
"TTACT",
|
746 |
+
"TACGC",
|
747 |
+
"TAAGC",
|
748 |
+
"AGCAC",
|
749 |
+
"TGCGC",
|
750 |
+
"ACGCC",
|
751 |
+
"CAATT",
|
752 |
+
"CGTTC",
|
753 |
+
"TGTAC",
|
754 |
+
"TGTGG",
|
755 |
+
"GACAA",
|
756 |
+
"TGTTG",
|
757 |
+
"AATCA",
|
758 |
+
"ACATA",
|
759 |
+
"TAGCT",
|
760 |
+
"GCTGC",
|
761 |
+
"CATTT",
|
762 |
+
"TTAGG",
|
763 |
+
"AAGTA",
|
764 |
+
"GGAAT",
|
765 |
+
"AAGAC",
|
766 |
+
"GACGT",
|
767 |
+
"AAGCA",
|
768 |
+
"AGAGA",
|
769 |
+
"AGTCA",
|
770 |
+
"GGGCG",
|
771 |
+
"ATATG",
|
772 |
+
"GGAAC",
|
773 |
+
"AGCCA",
|
774 |
+
"TCTCA",
|
775 |
+
"GTTCC",
|
776 |
+
"ACCGC",
|
777 |
+
"TGCTT",
|
778 |
+
"AGACG",
|
779 |
+
"GCGGA",
|
780 |
+
"CTTCC",
|
781 |
+
"GTCCG",
|
782 |
+
"CACAT",
|
783 |
+
"GCTCT",
|
784 |
+
"TACAT",
|
785 |
+
"ACACC",
|
786 |
+
"CTGCC",
|
787 |
+
"AACAT",
|
788 |
+
"GATAA",
|
789 |
+
"CGCGA",
|
790 |
+
"CAAAG",
|
791 |
+
"TCGAT",
|
792 |
+
"AGTGC",
|
793 |
+
"ATGAT",
|
794 |
+
"ACGCA",
|
795 |
+
"CTAAC",
|
796 |
+
"GCACA",
|
797 |
+
"CGGCT",
|
798 |
+
"ATCAC",
|
799 |
+
"TAAAC",
|
800 |
+
"CACGA",
|
801 |
+
"CCGGA",
|
802 |
+
"CTGTA",
|
803 |
+
"GTTGG",
|
804 |
+
"CGAAT",
|
805 |
+
"CTAGG",
|
806 |
+
"AACAA",
|
807 |
+
"GCGCC",
|
808 |
+
"CCGTT",
|
809 |
+
"GCATA",
|
810 |
+
"TAGAT",
|
811 |
+
"GGTGT",
|
812 |
+
"GAACT",
|
813 |
+
"CGCTA",
|
814 |
+
"GTCTT",
|
815 |
+
"ACTTA",
|
816 |
+
"CTGCT",
|
817 |
+
"CATCG",
|
818 |
+
"CACTC",
|
819 |
+
"CCTAG",
|
820 |
+
"TGCCT",
|
821 |
+
"GTAGC",
|
822 |
+
"ACATG",
|
823 |
+
"GGTGA",
|
824 |
+
"GGACG",
|
825 |
+
"AAATG",
|
826 |
+
"ATTTT",
|
827 |
+
"TGAGA",
|
828 |
+
"ATCCT",
|
829 |
+
"TATAG",
|
830 |
+
"CTGCG",
|
831 |
+
"AGTAC",
|
832 |
+
"TCCTC",
|
833 |
+
"TGCGG",
|
834 |
+
"ATGTC",
|
835 |
+
"ACCCC",
|
836 |
+
"GTCCT",
|
837 |
+
"CGGCG",
|
838 |
+
"ACGTC",
|
839 |
+
"CTTGA",
|
840 |
+
"GTTTG",
|
841 |
+
"AGAAT",
|
842 |
+
"CATCT",
|
843 |
+
"TGTGC",
|
844 |
+
"AGGGC",
|
845 |
+
"CAGAT",
|
846 |
+
"GTTCT",
|
847 |
+
"GTATC",
|
848 |
+
"TCCGT",
|
849 |
+
"GCATC",
|
850 |
+
"ATACT",
|
851 |
+
"GTTGC",
|
852 |
+
"GATCC",
|
853 |
+
"CCAAC",
|
854 |
+
"TTTAC",
|
855 |
+
"ACCCA",
|
856 |
+
"GCGGT",
|
857 |
+
"CTTAA",
|
858 |
+
"ACTTC",
|
859 |
+
"GATTA",
|
860 |
+
"TTGAA",
|
861 |
+
"TAGAC",
|
862 |
+
"CCGAA",
|
863 |
+
"GGTCA",
|
864 |
+
"CTCGC",
|
865 |
+
"TAGGT",
|
866 |
+
"AAAGC",
|
867 |
+
"GACCA",
|
868 |
+
"GTGGC",
|
869 |
+
"TGCCG",
|
870 |
+
"ACCTG",
|
871 |
+
"TAAGG",
|
872 |
+
"GCTGT",
|
873 |
+
"AGACA",
|
874 |
+
"CGCTC",
|
875 |
+
"GCATG",
|
876 |
+
"CGCTG",
|
877 |
+
"CAGAC",
|
878 |
+
"ATGCG",
|
879 |
+
"TTCTT",
|
880 |
+
"AGTCT",
|
881 |
+
"TTCCA",
|
882 |
+
"CCATC",
|
883 |
+
"GCCCT",
|
884 |
+
"TACAA",
|
885 |
+
"ACTGG",
|
886 |
+
"GGACC",
|
887 |
+
"CGTTT",
|
888 |
+
"AGCTT",
|
889 |
+
"GCTTT",
|
890 |
+
"GTCAA",
|
891 |
+
"TGTCT",
|
892 |
+
"GTAAC",
|
893 |
+
"CGTCC",
|
894 |
+
"GCGAC",
|
895 |
+
"TTCAG",
|
896 |
+
"GTAAA",
|
897 |
+
"GGATA",
|
898 |
+
"GTACT",
|
899 |
+
"CGACG",
|
900 |
+
"ACTTG",
|
901 |
+
"TCGCC",
|
902 |
+
"TCGAC",
|
903 |
+
"CTGAA",
|
904 |
+
"GAAAT",
|
905 |
+
"TTACG",
|
906 |
+
"ACCGG",
|
907 |
+
"CACGC",
|
908 |
+
"TTAAG",
|
909 |
+
"ATGAA",
|
910 |
+
"CTCCT",
|
911 |
+
"CGATT",
|
912 |
+
"GGCAA",
|
913 |
+
"CTGAG",
|
914 |
+
"GCCAG",
|
915 |
+
"CCAGG",
|
916 |
+
"TCGCT",
|
917 |
+
"CGCCA",
|
918 |
+
"GTGAT",
|
919 |
+
"ATCGG",
|
920 |
+
"TTTCA",
|
921 |
+
"AACCA",
|
922 |
+
"ATGTG",
|
923 |
+
"CGCGT",
|
924 |
+
"TATGA",
|
925 |
+
"TGTTC",
|
926 |
+
"TACCG",
|
927 |
+
"AGCCG",
|
928 |
+
"CAAAC",
|
929 |
+
"GTTCA",
|
930 |
+
"GGGAA",
|
931 |
+
"GATGA",
|
932 |
+
"CTGCA",
|
933 |
+
"ACAAC",
|
934 |
+
"GGAGT",
|
935 |
+
"CCGTA",
|
936 |
+
"GCAGC",
|
937 |
+
"ATGTA",
|
938 |
+
"GTCAC",
|
939 |
+
"TGCTG",
|
940 |
+
"CTCTA",
|
941 |
+
"AACCT",
|
942 |
+
"GCGAG",
|
943 |
+
"AGAAG",
|
944 |
+
"TAGTG",
|
945 |
+
"GAGGT",
|
946 |
+
"AAAAA",
|
947 |
+
"GTGGT",
|
948 |
+
"GTCGA",
|
949 |
+
"CCTCT",
|
950 |
+
"GCAAT",
|
951 |
+
"GATTG",
|
952 |
+
"GGTAT",
|
953 |
+
"ATAGA",
|
954 |
+
"CCCCG",
|
955 |
+
"AAGTG",
|
956 |
+
"GGCAT",
|
957 |
+
"TGCAG",
|
958 |
+
"CTGGT",
|
959 |
+
"GCTGA",
|
960 |
+
"GCTCG",
|
961 |
+
"CGGGC",
|
962 |
+
"CGTGA",
|
963 |
+
"AAGGC",
|
964 |
+
"TAGAA",
|
965 |
+
"TGCCC",
|
966 |
+
"TGTAG",
|
967 |
+
"TAAGA",
|
968 |
+
"AAGTC",
|
969 |
+
"CGAAC",
|
970 |
+
"GGTTA",
|
971 |
+
"TCACA",
|
972 |
+
"TGGTC",
|
973 |
+
"TGTGA",
|
974 |
+
"GTGAC",
|
975 |
+
"GCTAC",
|
976 |
+
"AGGTA",
|
977 |
+
"ACACA",
|
978 |
+
"GCGCA",
|
979 |
+
"CAGGA",
|
980 |
+
"AGACT",
|
981 |
+
"GAGGG",
|
982 |
+
"ATTCG",
|
983 |
+
"CGGAC",
|
984 |
+
"CATTA",
|
985 |
+
"CTACG",
|
986 |
+
"AGGGA",
|
987 |
+
"TCAAC",
|
988 |
+
"CGGTA",
|
989 |
+
"TTTCC",
|
990 |
+
"GTTAT",
|
991 |
+
"TAAAT",
|
992 |
+
"TGAGT",
|
993 |
+
"TTAGT",
|
994 |
+
"CGAGT",
|
995 |
+
"CAAGA",
|
996 |
+
"TCGAA",
|
997 |
+
"ACGCG",
|
998 |
+
"ATCCG",
|
999 |
+
"CTTCT",
|
1000 |
+
"CGATA",
|
1001 |
+
"CTCAG",
|
1002 |
+
"TAACT",
|
1003 |
+
"AGGTT",
|
1004 |
+
"CTCTT",
|
1005 |
+
"GCCCC",
|
1006 |
+
"ACGAC",
|
1007 |
+
"AGTAA",
|
1008 |
+
"TAATG",
|
1009 |
+
"ATTCA",
|
1010 |
+
"TGACA",
|
1011 |
+
"AAGTT",
|
1012 |
+
"CGCAC",
|
1013 |
+
"CGCCC",
|
1014 |
+
"ATGAG",
|
1015 |
+
"AGCCC",
|
1016 |
+
"TGGTG",
|
1017 |
+
"ATGCC",
|
1018 |
+
"TATTG",
|
1019 |
+
"AGAGC",
|
1020 |
+
"ATGGA",
|
1021 |
+
"GAAAA",
|
1022 |
+
"CTTAG",
|
1023 |
+
"GATTC",
|
1024 |
+
"ATACC",
|
1025 |
+
"TGACG",
|
1026 |
+
"GAAGC",
|
1027 |
+
"GCGAA",
|
1028 |
+
"CTCTC",
|
1029 |
+
"TGGCG",
|
1030 |
+
"CCTAT",
|
1031 |
+
"TTGGA",
|
1032 |
+
"TCCAT",
|
1033 |
+
"TATCA",
|
1034 |
+
"TCGTG",
|
1035 |
+
"GTTAA",
|
1036 |
+
"CTATC",
|
1037 |
+
"ATTAT",
|
1038 |
+
"GATAG",
|
1039 |
+
"GATTT",
|
1040 |
+
"TGGAT",
|
1041 |
+
"CAACT",
|
1042 |
+
"GTCCC",
|
1043 |
+
"GCTAA",
|
1044 |
+
"GTCTG",
|
1045 |
+
"TGGAC",
|
1046 |
+
"AGGGT",
|
1047 |
+
"AGGAC",
|
1048 |
+
"CAGTT",
|
1049 |
+
"AGAGT",
|
1050 |
+
"TCACT",
|
1051 |
+
"CCCGA",
|
1052 |
+
"AGCAG",
|
1053 |
+
"TTATC",
|
1054 |
+
"GCCTG",
|
1055 |
+
"TTATT",
|
1056 |
+
"CTTAT",
|
1057 |
+
"AGTTC",
|
1058 |
+
"AAGGG",
|
1059 |
+
"TTGGT",
|
1060 |
+
"TTGTG",
|
1061 |
+
"CCACT",
|
1062 |
+
"TCTGC",
|
1063 |
+
"GAGTG",
|
1064 |
+
"TATCT",
|
1065 |
+
"CGATG",
|
1066 |
+
"TTGCG",
|
1067 |
+
"CATGG",
|
1068 |
+
"ATAGT",
|
1069 |
+
"CGCGG",
|
1070 |
+
"GCCTT",
|
1071 |
+
"TCCGC",
|
1072 |
+
"ATTTG",
|
1073 |
+
"CAACA",
|
1074 |
+
"ACCAT",
|
1075 |
+
"GCGCT",
|
1076 |
+
"TGCTA",
|
1077 |
+
"TATAT",
|
1078 |
+
"GTTAG",
|
1079 |
+
"CTAAG",
|
1080 |
+
"GGGCA",
|
1081 |
+
"TGGTT",
|
1082 |
+
"CCTGT",
|
1083 |
+
"GGGCC",
|
1084 |
+
"TATCC",
|
1085 |
+
"GGCTA",
|
1086 |
+
"TCTTG",
|
1087 |
+
"AGTTT",
|
1088 |
+
"GGTTC",
|
1089 |
+
"AGAGG",
|
1090 |
+
"GAATG",
|
1091 |
+
"GTAAT",
|
1092 |
+
"AAGCG",
|
1093 |
+
"CCTTC",
|
1094 |
+
"TGTCC",
|
1095 |
+
"ACAGC",
|
1096 |
+
"TCATT",
|
1097 |
+
"GACTC",
|
1098 |
+
"TTCGT",
|
1099 |
+
"GTGCA",
|
1100 |
+
"CCCCC",
|
1101 |
+
"ATACG",
|
1102 |
+
"TTGCT",
|
1103 |
+
"GTATT",
|
1104 |
+
"TTAGA",
|
1105 |
+
"ATAGG",
|
1106 |
+
"AACGT",
|
1107 |
+
"CAGTC",
|
1108 |
+
"TTGTC",
|
1109 |
+
"CCCTT",
|
1110 |
+
"AGAAC",
|
1111 |
+
"TCCTA",
|
1112 |
+
"ATCTG",
|
1113 |
+
"CAGAG",
|
1114 |
+
"TGGCA",
|
1115 |
+
"GTGTT",
|
1116 |
+
"CCTAA",
|
1117 |
+
"CAGGC",
|
1118 |
+
"CTGGC",
|
1119 |
+
"GACGC",
|
1120 |
+
"GCGCG",
|
1121 |
+
"AGGGG",
|
1122 |
+
"TAACA",
|
1123 |
+
"GGAAA",
|
1124 |
+
"CCCGC",
|
1125 |
+
"ACGGA",
|
1126 |
+
"GTAGG",
|
1127 |
+
"GTCGC",
|
1128 |
+
"TCTGG",
|
1129 |
+
"TACAC",
|
1130 |
+
"TTCGG",
|
1131 |
+
"CCATA",
|
1132 |
+
"TGATC",
|
1133 |
+
"CGTGG",
|
1134 |
+
"ACCTT",
|
1135 |
+
"TGTAT",
|
1136 |
+
"GGTTT",
|
1137 |
+
"CAAGG",
|
1138 |
+
"AGTAG",
|
1139 |
+
"GAAAG",
|
1140 |
+
"TGATT",
|
1141 |
+
"TCCGA",
|
1142 |
+
"GACTG",
|
1143 |
+
"CGTAT",
|
1144 |
+
"ATTCT",
|
1145 |
+
"AAAGG",
|
1146 |
+
"ATCAA",
|
1147 |
+
"TTTTA",
|
1148 |
+
"TACCT",
|
1149 |
+
"TGAGG",
|
1150 |
+
"TAAGT",
|
1151 |
+
"ACTGC",
|
1152 |
+
"CGTCT",
|
1153 |
+
"GTGCT",
|
1154 |
+
"AGGAG",
|
1155 |
+
"CGGAG",
|
1156 |
+
"GAACC",
|
1157 |
+
"TGTAA",
|
1158 |
+
"GCAAC",
|
1159 |
+
"CGCAA",
|
1160 |
+
"TGGGA",
|
1161 |
+
"TTATG",
|
1162 |
+
"GCCAT",
|
1163 |
+
"CCTTT",
|
1164 |
+
"ACAAA",
|
1165 |
+
"GGTAG",
|
1166 |
+
"CATAG",
|
1167 |
+
"CCAGC",
|
1168 |
+
"CTTGG",
|
1169 |
+
"TACGT",
|
1170 |
+
"TTGCC",
|
1171 |
+
"TCATC",
|
1172 |
+
"GGGCT",
|
1173 |
+
"GAGAA",
|
1174 |
+
"ATTGC",
|
1175 |
+
"CTACT",
|
1176 |
+
"TTGAC",
|
1177 |
+
"GTGAA",
|
1178 |
+
"CAGAA",
|
1179 |
+
"ACGTG",
|
1180 |
+
"GGTGC",
|
1181 |
+
"CTCCA",
|
1182 |
+
"GATCA",
|
1183 |
+
"CACTT",
|
1184 |
+
"GCCGT",
|
1185 |
+
"CTAAA",
|
1186 |
+
"GCAAA",
|
1187 |
+
"TATCG",
|
1188 |
+
"TGGGC",
|
1189 |
+
"AGGCT",
|
1190 |
+
"AACTT",
|
1191 |
+
"TACCC",
|
1192 |
+
"CGCAG",
|
1193 |
+
"GGCCG",
|
1194 |
+
"GGATC",
|
1195 |
+
"AATCG",
|
1196 |
+
"CTCGG",
|
1197 |
+
"TCTGA",
|
1198 |
+
"TGCTC",
|
1199 |
+
"CGAGC",
|
1200 |
+
"TCGTT",
|
1201 |
+
"AACGG",
|
1202 |
+
"TCAGA",
|
1203 |
+
"CGCCT",
|
1204 |
+
"TGGGT",
|
1205 |
+
"TGCAT",
|
1206 |
+
"GCACG",
|
1207 |
+
"ACTCG",
|
1208 |
+
"GTACA",
|
1209 |
+
"CCACC",
|
1210 |
+
"CGCGC",
|
1211 |
+
"GAGCA",
|
1212 |
+
"AAGGA",
|
1213 |
+
"AATGC",
|
1214 |
+
"GCAGA",
|
1215 |
+
"CCTTA",
|
1216 |
+
"GACTA",
|
1217 |
+
"CGGCC",
|
1218 |
+
"TTCCG",
|
1219 |
+
"AGTCG"
|
1220 |
+
],
|
1221 |
+
"y": [
|
1222 |
+
960,
|
1223 |
+
1032,
|
1224 |
+
976,
|
1225 |
+
1001,
|
1226 |
+
1005,
|
1227 |
+
999,
|
1228 |
+
986,
|
1229 |
+
1005,
|
1230 |
+
993,
|
1231 |
+
937,
|
1232 |
+
988,
|
1233 |
+
984,
|
1234 |
+
1002,
|
1235 |
+
989,
|
1236 |
+
999,
|
1237 |
+
991,
|
1238 |
+
981,
|
1239 |
+
917,
|
1240 |
+
968,
|
1241 |
+
977,
|
1242 |
+
956,
|
1243 |
+
946,
|
1244 |
+
950,
|
1245 |
+
1008,
|
1246 |
+
928,
|
1247 |
+
993,
|
1248 |
+
1021,
|
1249 |
+
959,
|
1250 |
+
983,
|
1251 |
+
963,
|
1252 |
+
982,
|
1253 |
+
965,
|
1254 |
+
993,
|
1255 |
+
1008,
|
1256 |
+
974,
|
1257 |
+
975,
|
1258 |
+
947,
|
1259 |
+
1000,
|
1260 |
+
952,
|
1261 |
+
1002,
|
1262 |
+
982,
|
1263 |
+
984,
|
1264 |
+
969,
|
1265 |
+
1000,
|
1266 |
+
956,
|
1267 |
+
936,
|
1268 |
+
972,
|
1269 |
+
935,
|
1270 |
+
975,
|
1271 |
+
1007,
|
1272 |
+
1009,
|
1273 |
+
987,
|
1274 |
+
945,
|
1275 |
+
999,
|
1276 |
+
978,
|
1277 |
+
974,
|
1278 |
+
951,
|
1279 |
+
965,
|
1280 |
+
988,
|
1281 |
+
1000,
|
1282 |
+
981,
|
1283 |
+
997,
|
1284 |
+
1026,
|
1285 |
+
991,
|
1286 |
+
975,
|
1287 |
+
915,
|
1288 |
+
972,
|
1289 |
+
954,
|
1290 |
+
993,
|
1291 |
+
945,
|
1292 |
+
964,
|
1293 |
+
1014,
|
1294 |
+
991,
|
1295 |
+
967,
|
1296 |
+
995,
|
1297 |
+
902,
|
1298 |
+
999,
|
1299 |
+
978,
|
1300 |
+
910,
|
1301 |
+
900,
|
1302 |
+
1004,
|
1303 |
+
984,
|
1304 |
+
923,
|
1305 |
+
1025,
|
1306 |
+
989,
|
1307 |
+
959,
|
1308 |
+
980,
|
1309 |
+
1001,
|
1310 |
+
929,
|
1311 |
+
1024,
|
1312 |
+
962,
|
1313 |
+
970,
|
1314 |
+
959,
|
1315 |
+
940,
|
1316 |
+
955,
|
1317 |
+
940,
|
1318 |
+
925,
|
1319 |
+
962,
|
1320 |
+
1062,
|
1321 |
+
981,
|
1322 |
+
975,
|
1323 |
+
984,
|
1324 |
+
965,
|
1325 |
+
973,
|
1326 |
+
1002,
|
1327 |
+
932,
|
1328 |
+
991,
|
1329 |
+
976,
|
1330 |
+
1003,
|
1331 |
+
969,
|
1332 |
+
972,
|
1333 |
+
992,
|
1334 |
+
993,
|
1335 |
+
986,
|
1336 |
+
927,
|
1337 |
+
915,
|
1338 |
+
962,
|
1339 |
+
967,
|
1340 |
+
1013,
|
1341 |
+
937,
|
1342 |
+
949,
|
1343 |
+
979,
|
1344 |
+
1022,
|
1345 |
+
1033,
|
1346 |
+
969,
|
1347 |
+
968,
|
1348 |
+
994,
|
1349 |
+
991,
|
1350 |
+
976,
|
1351 |
+
1018,
|
1352 |
+
964,
|
1353 |
+
1040,
|
1354 |
+
1043,
|
1355 |
+
968,
|
1356 |
+
946,
|
1357 |
+
932,
|
1358 |
+
981,
|
1359 |
+
949,
|
1360 |
+
937,
|
1361 |
+
924,
|
1362 |
+
994,
|
1363 |
+
950,
|
1364 |
+
928,
|
1365 |
+
1009,
|
1366 |
+
981,
|
1367 |
+
987,
|
1368 |
+
906,
|
1369 |
+
981,
|
1370 |
+
1058,
|
1371 |
+
1042,
|
1372 |
+
977,
|
1373 |
+
942,
|
1374 |
+
973,
|
1375 |
+
991,
|
1376 |
+
936,
|
1377 |
+
918,
|
1378 |
+
1002,
|
1379 |
+
933,
|
1380 |
+
955,
|
1381 |
+
1005,
|
1382 |
+
1006,
|
1383 |
+
966,
|
1384 |
+
994,
|
1385 |
+
996,
|
1386 |
+
965,
|
1387 |
+
928,
|
1388 |
+
976,
|
1389 |
+
961,
|
1390 |
+
986,
|
1391 |
+
1024,
|
1392 |
+
991,
|
1393 |
+
983,
|
1394 |
+
959,
|
1395 |
+
964,
|
1396 |
+
943,
|
1397 |
+
981,
|
1398 |
+
1011,
|
1399 |
+
984,
|
1400 |
+
910,
|
1401 |
+
969,
|
1402 |
+
970,
|
1403 |
+
962,
|
1404 |
+
1020,
|
1405 |
+
933,
|
1406 |
+
983,
|
1407 |
+
944,
|
1408 |
+
982,
|
1409 |
+
959,
|
1410 |
+
1003,
|
1411 |
+
943,
|
1412 |
+
928,
|
1413 |
+
960,
|
1414 |
+
991,
|
1415 |
+
968,
|
1416 |
+
1029,
|
1417 |
+
935,
|
1418 |
+
1013,
|
1419 |
+
982,
|
1420 |
+
999,
|
1421 |
+
958,
|
1422 |
+
976,
|
1423 |
+
988,
|
1424 |
+
958,
|
1425 |
+
1004,
|
1426 |
+
994,
|
1427 |
+
1005,
|
1428 |
+
990,
|
1429 |
+
1000,
|
1430 |
+
975,
|
1431 |
+
960,
|
1432 |
+
1007,
|
1433 |
+
974,
|
1434 |
+
989,
|
1435 |
+
958,
|
1436 |
+
1005,
|
1437 |
+
970,
|
1438 |
+
999,
|
1439 |
+
973,
|
1440 |
+
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"text": [
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"No unique k-mers found\n",
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"Most common 10% kmers: \n"
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},
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"ticks": "",
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"title": {
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"standoff": 15
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},
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}
|
4127 |
+
}
|
4128 |
+
},
|
4129 |
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|
4130 |
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"text": "102 Kmer Distribution for 5-mers"
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4131 |
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},
|
4132 |
+
"xaxis": {
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"yaxis": {
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}
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}
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4143 |
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}
|
4144 |
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},
|
4145 |
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"metadata": {},
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"output_type": "display_data"
|
4147 |
+
}
|
4148 |
+
],
|
4149 |
+
"source": [
|
4150 |
+
"def main():\n",
|
4151 |
+
" test_hash_table(dna_string, dna_len, kmer_size)\n",
|
4152 |
+
" # # uncomment if you would like to enter your own values \n",
|
4153 |
+
" # test_hash_table(None, None, None)\n",
|
4154 |
+
"\n",
|
4155 |
+
"main()"
|
4156 |
+
]
|
4157 |
+
}
|
4158 |
+
],
|
4159 |
+
"metadata": {
|
4160 |
+
"kernelspec": {
|
4161 |
+
"display_name": "Python 3.10.8 64-bit",
|
4162 |
+
"language": "python",
|
4163 |
+
"name": "python3"
|
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},
|
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"language_info": {
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|
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},
|
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"file_extension": ".py",
|
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+
"mimetype": "text/x-python",
|
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"name": "python",
|
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"nbconvert_exporter": "python",
|
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+
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|
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|
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},
|
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"nbformat": 4,
|
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"nbformat_minor": 2
|
4186 |
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}
|
requirements.txt
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
matplotlib==3.6.2
|
2 |
+
mmh3==3.0.0
|
3 |
+
plotly==5.11.0
|
4 |
+
prettytable==3.5.0
|
5 |
+
xxhash==3.1.0
|
6 |
+
mljar-mercury
|
7 |
+
nbformat==5.7.0
|
8 |
+
jupyterlab==3.2.4
|
9 |
+
jupyter==1.0.0
|