PATENT CLAIM ANALYSIS

Application Number: 15965856
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["506", "016000"]

Abstract:
Described herein are techniques and methods to analyze mutations in genomic DNA. The techniques and methods can be used to diagnose disease in a subject.

Claim (Index 1):
A method of identifying genomic DNA mutations, the method comprising:\n denaturing double stranded (ds) genomic DNA fragments to form single stranded (ss) genomic DNA fragments; annealing the ssDNA to form homoduplex DNA fragments and heteroduplex DNA fragments; enzymatically identifying a heteroduplex DNA fragment having a base pair mismatch by binding the heteroduplex DNA fragment having a base pair mismatch; separating the heteroduplex DNA fragment having a base pair mismatch from the homoduplex DNA fragments and any heteroduplex DNA not having a base pair mismatch to obtain an isolated heteroduplex DNA fragment having a base pair mismatch; ligating a sequencing adaptor to an end of each strand of the isolated heteroduplex DNA fragment having a base pair mismatch; digesting the adaptor-ligated isolated heteroduplex DNA fragment having a base pair mismatch with an exonuclease capable of degrading ds DNA removing the enzyme from the adaptor-ligated heteroduplex DNA fragment having a base pair mismatch and forming an adaptor-ligated ss DNA; circligating the adaptor-ligated ss DNA; PCR amplifying the circle-ligated adaptor-ligated ssDNA to form a sequencing library; and sequencing the sequencing library using a next generation sequencing method.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 1.28571
- Patent Class: 506.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12101255', '09936299', '14782307', '12933083', '09984348']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6140943828630314
- 35 USC 102 Novelty (BERT): 0.5077265728821333
- Combined Prediction Score: 0.6034576018649417
- Mean Citation Score: 288.157952
- Max Citation Score: 293.5185
- Similarity Product: 227.40679775306583

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

Dataset: test