PATENT CLAIM ANALYSIS

Application Number: 16246195
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["506", "016000"]

Abstract:
Multimeric barcoding reagents for labelling a target nucleic acid comprise: first and second barcode molecules linked together, wherein each of the barcode molecules comprises a nucleic acid sequence comprising a barcode region; and first and second barcoded oligonucleotides. The multimeric barcoding reagents enable spatial sequencing. A single multimeric barcoding reagent can be used to label sub-sequences of an intact nucleic acid molecule or co-localised fragments of a nucleic acid molecule. The labelled sub-sequences can be sequenced and the sequencing data processed to determine the sequence of sub-sequences from a single intact nucleic acid molecule or from co-localised fragments of a nucleic acid molecule. Corresponding libraries, kits, methods and uses are provided.

Claim (Index 6):
The method of  claim 1 , wherein step (a) comprises preparing the nucleic acid sample for sequencing using a library of multimeric barcode molecules, wherein the library of multimeric barcode molecules comprises at least 2, at least 5, at least 10, at least 20, at least 25, at least 50, at least 75, at least 100, at least 250, at least 500, at least 10 3 , at least 10 4 , at least 10 5 , at least 10 6 , at least 10 7 , or at least 10 8  multimeric barcode molecules, and wherein each of the multimeric barcode molecules is as defined in  claim 1 , and wherein the method generates a synthetic long read from each of at least 2, at least 5, at least 10, at least 20, at least 25, at least 50, at least 75, at least 100, at least 250, at least 500, at least 10 3 , at least 10 4 , at least 10 5 , at least 10 6 , at least 10 7 , or at least 10 8  target nucleic acids.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 99.0
- Lexical Diversity: 1.89062
- Patent Class: 506.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15750824', '14947988', '15842687', '14006971', '14990276']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6209735967049719
- 35 USC 102 Novelty (BERT): 0.6027525126231449
- Combined Prediction Score: 0.6191514882967892
- Mean Citation Score: 401.565432
- Max Citation Score: 631.3768
- Similarity Product: 438.9096848124027

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

Dataset: test