PATENT CLAIM ANALYSIS

Application Number: 16219553
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["506", "009000"]

Abstract:
Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Claim (Index 10):
The method of  claim 1 , wherein detecting the new first molecules and the new second molecules comprises detecting the new first molecules, or derivatives thereof, by detecting the combination label sequences present on the new first molecules, or the derivatives thereof, wherein the detected new first molecules, or the derivatives thereof, indicates the number of the one or more occurrences of the first target molecule.

Metadata:
- Claim Count in Document: 74.0
- Percentile: 98.0
- Lexical Diversity: 1.71765
- Patent Class: 506.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15217886', '16038832', '15224460', '15217896', '14975441']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6083521625802237
- 35 USC 102 Novelty (BERT): 0.5888674702890586
- Combined Prediction Score: 0.6064036933511072
- Mean Citation Score: 480.591792
- Max Citation Score: 493.17715
- Similarity Product: 430.5894924654573

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

Dataset: test