PATENT CLAIM ANALYSIS

Application Number: 15961542
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["435", "006120"]

Abstract:
Efficient methods are disclosed for the high throughput identification of mutations in genes in members of mutagenized populations. The methods comprise DNA isolation, pooling, amplification, creation of libraries, high throughput sequencing of libraries, preferably by sequencing-by-synthesis technologies, identification of mutations and identification of the member of the population carrying the mutation and identification of the mutation.

Claim (Index 13):
A method of detecting a mutation in one or more members of a population, comprising:\n (a) providing a plurality of libraries of amplification products, wherein each library of amplification products is obtained by amplifying nucleic acids isolated from a member of the population, (b) ligating sequencing adaptors to the plurality of libraries of amplification products, and pooling the plurality of libraries of amplification products, wherein each library of amplification products in the pool is tagged with and identifiable by one or more tag sequences; (c) performing high-throughput sequencing to sequence at least a portion of the pool of amplification products, wherein the high-throughput sequencing is performed on a solid support and comprises annealing the amplification products to the solid support and amplifying the annealed amplification products; and (d) clustering/aligning the sequences of the amplification products to identify a mutation and a member of the population carrying the mutation using the tag sequences.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 91.0
- Lexical Diversity: 1.77778
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15400920', '15288253', '13447871', '15165921', '13972152']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7157169719940628
- 35 USC 102 Novelty (BERT): 0.595947263825372
- Combined Prediction Score: 0.7037400011771937
- Mean Citation Score: 536.793668
- Max Citation Score: 561.5664
- Similarity Product: 419.37256894598016

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test