PATENT CLAIM ANALYSIS

Application Number: 16121559
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2018-12
Patent Classification: ["506", "004000"]

Abstract:
The present disclosure provides compositions and methods for accurately detecting mutations by uniquely tagging double stranded nucleic acid molecules with dual cyphers such that sequence data obtained from a sense strand can be linked to sequence data obtained from an anti-sense strand when sequenced, for example, by massively parallel sequencing methods.

Claim (Index 39):
A method for reducing an error rate in sequence reads of a double-stranded target nucleic acid molecule, comprising:\n a) ligating the double-stranded target nucleic acid molecule to a double-stranded cypher to form a cypher-target nucleic acid complex, wherein the double-stranded cypher comprises a random or partially random identifier sequence that alone or in combination with an end of the target nucleic acid molecule uniquely labels the double-stranded target nucleic acid molecule; b) amplifying each strand of the cypher-target nucleic acid complex to produce a plurality of cypher-target amplification products from each of a first strand and a complementary second strand of the cypher-target nucleic acid complex; (c) sequencing the cypher-target amplification products to produce a plurality of first-strand sequencing reads and a plurality of second-strand sequencing reads; and (d) comparing the first-strand sequencing reads with the second-strand sequencing reads, and generating an error-corrected sequence of the double-stranded target nucleic acid molecule by distinguishing erroneous nucleotides in one strand that lack a matched base change in the complementary strand.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 97.0
- Lexical Diversity: 1.2
- Patent Class: 506.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15199784', '14378870', '14386800', '15660785', '16120019']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6279605268416003
- 35 USC 102 Novelty (BERT): 0.5833073165469551
- Combined Prediction Score: 0.6234952058121358
- Mean Citation Score: 383.2317259999999
- Max Citation Score: 528.4851
- Similarity Product: 429.0030376808167

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test