PATENT CLAIM ANALYSIS

Application Number: 16267123
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-05
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 1):
A method for detecting a mutation in one or more nucleic acid samples, comprising:\n (a) providing a plurality of complexity reduced libraries comprising amplified adapter-ligated nucleic acid fragments, wherein each nucleic acid fragment within a library comprises a sequence derived from a nucleic acid sample and one or more tag sequences for nucleic acid and/or sample identification; (b) pooling the plurality of libraries of nucleic acid fragments; (c) performing high-throughput sequencing to sequence at least a portion of the pool of nucleic acid fragments, wherein the high-throughput sequencing is performed on a solid support and comprises annealing the nucleic acid fragments to the solid support and amplifying the annealed nucleic acid fragments; and (d) aligning the sequences of the nucleic acid fragments and grouping the sequences using the one or more tag sequences to identify a mutation and a nucleic acid and/or a sample comprising the mutation.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 99.0
- Lexical Diversity: 1.77778
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15961542', '15400920', '13447871', '15288253', '13972152']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7133611593207577
- 35 USC 102 Novelty (BERT): 0.5798896775518263
- Combined Prediction Score: 0.7000140111438645
- Mean Citation Score: 464.357162
- Max Citation Score: 486.94043
- Similarity Product: 426.3580361790818

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