semvec/pypi-packages huggingface dataset:
torch-cv 0.1.1
A high level package for Computer Vision with pytorch

========
torch-cv
========


.. image:: https://img.shields.io/travis/RJaikanth/torchcv.svg
        :target: https://travis-ci.com/RJaikanth/torchcv

.. image:: https://readthedocs.org/projects/torchcv/badge/?version=latest
        :target: https://torchcv.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status




Short Description


* Free software: MIT license
* Documentation: https://torchcv.readthedocs.io.


Features
--------

* TODO
synthdnm 0.1.3
De novo caller and training pipeline
Requires Python: >=3.6

# Usage
```
usage: 
 _______  __   __  __    _  _______  __   __  ______   __    _  __   __ 
|       ||  | |  ||  |  | ||       ||  | |  ||      | |  |  | ||  |_|  |
|  _____||  |_|  ||   |_| ||_     _||  |_|  ||  _    ||   |_| ||       |
| |_____ |       ||       |  |   |  |       || | |   ||       ||       |
|_____  ||_     _||  _    |  |   |  |       || |_|   ||  _    ||       |
 _____| |  |   |  | | |   |  |   |  |   _   ||       || | |   || ||_|| |
|_______|  |___|  |_|  |__|  |___|  |__| |__||______| |_|  |__||_|   |_|

Version 0.1.0.1    Authors: Danny Antaki, Aojie Lian, James Guevara    
                   Contact: j3guevar@ucsd.health.edu
---------------------------------------------------------------------------------
    synthdnm  -f <in.fam>  -v  <in.vcf.gz>  [-oLgkVh]
    
necessary arguments:
  
  -v, -vcf    PATH    VCF file
  -f, -fam    PATH    PLINK pedigree (.fam/.ped) file
  
optional arguments:

  -g  --gen    STR     human reference genome version [default: hg38]
  
  -h, --help           show this message and exit
     
synthdnm.py: error: the following arguments are required: -v/--vcf, -f/--fam

```
kmersfasta 0.0.3
Display and count k-mers from the fasta file
Requires Python: >3.6.0

### Counting K-mers from the sequence in fasta format  
<img src="https://upload.wikimedia.org/wikipedia/commons/thumb/8/8a/K-mer_diagram.svg/640px-K-mer_diagram.svg.png?1603804064236" alt="alt text" width="200">


Usage: 
```
import kmersfasta
kmersfasta.kmers_from_file('filename.fasta')
```

where, *filename.fasta* is the name of the file in fasta format  

### Counting K-mers from the sequence obtained from NCBI using accession number
Usage:  

```
import kmersfasta
kmersfasta.kmers_from_ncbi('email')
```

where, *email* is your email address and you also need to provide the NCBI ACCESSION number during the prompt