PATENT CLAIM ANALYSIS

Application Number: 16063535
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["506", "016000"]

Abstract:
Disclosed herein are methods and compositions for the detection of small RNAs in a sample. The methods and compositions disclosed herein may be used for preparing sequencing libraries of the small RNAs, fragments of RNAs and DNAs.

Claim (Index 1):
A combo adapter in the form of a plurality of nucleic acid residues, comprising:\n a) a 5\u2032-proximal segment and a 3\u2032-proximal segment, wherein each proximal segment comprises at least one sequencing adapter, detection sequences, or a combination thereof; b) 5\u2032-end and 3\u2032-end groups that allow first and second consecutive ligation reactions either directly or after conversion of one or both of these end groups to ligatable 5\u2032-end and 3\u2032-end group(s), the ligation reactions comprising:\n i) first, intermolecular ligation of said combo adapter to a sample polynucleotide to produce an adapter-polynucleotide ligation product; and \n ii) a second intramolecular reaction resulting in circularization of the adapter-polynucleotide ligation product to produce a circularized adapter-polynucleotide ligation product; and \n c) a template-deficient segment that restricts primer extension by a polymerase over said template-deficient segment.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 94.0
- Lexical Diversity: 1.48148
- Patent Class: 506.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14835544', '15287254', '13264122', '14600550', '14367200']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7010439664755904
- 35 USC 102 Novelty (BERT): 0.598795712049205
- Combined Prediction Score: 0.6908191410329518
- Mean Citation Score: 525.9268480000002
- Max Citation Score: 578.5201400000002
- Similarity Product: 454.5263565034582

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

Dataset: test