PATENT CLAIM ANALYSIS

Application Number: 16196684
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["435", "006110"]

Abstract:
Provided herein are methods for preparing nucleic acid molecules for sequencing. The methods may include generation of individual partitions (e.g., droplets or wells) including a biological particle and a bead comprising a nucleic acid barcode molecule. The preparation of barcoded nucleic acid molecules for sequencing can include subjecting the nucleic acid molecule to DNase treatment followed by attachment of a nucleic acid barcode molecule.

Claim (Index 1):
A method of generating a barcoded nucleic acid molecule, comprising:\n (a) providing a plurality of partitions, wherein a partition of said plurality of partitions comprises (i) a biological particle from a plurality of biological particles, (ii) a bead from a plurality of beads, and (iii) a plurality of enzymes, wherein said biological particle comprises a chromatin comprising at least two nucleosomes supporting a nucleic acid molecule, which nucleic acid molecule comprises a nucleic acid sequence between said at least two nucleosomes, wherein said bead comprises a nucleic acid barcode molecule comprising a barcode sequence, wherein said plurality of enzymes are not transposase molecules; and (b) in said partition, using at least one enzyme of said plurality of enzymes to process said chromatin in the presence of said nucleic acid barcode molecule to yield said barcoded nucleic acid molecule comprising (i) said nucleic acid sequence from a segment between said at least two nucleosomes, and (ii) said barcode sequence.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 98.0
- Lexical Diversity: 1.55556
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15842687', '15887947', '15875899', '15933299', '15980473']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6029391455669725
- 35 USC 102 Novelty (BERT): 0.5368764511824895
- Combined Prediction Score: 0.5963328761285243
- Mean Citation Score: 333.923224
- Max Citation Score: 400.0149
- Similarity Product: 332.10484633584025

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