Compositions and methods for accurately identifying mutations
US-2024409996-A1 · Dec 12, 2024 · US
US9809851B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9809851-B2 |
| Application number | US-201414290867-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 29, 2014 |
| Priority date | May 29, 2013 |
| Publication date | Nov 7, 2017 |
| Grant date | Nov 7, 2017 |
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Methods, libraries, and kits for nucleotide sequencing are provided.
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What is claimed is: 1. A method of identifying primer/target nucleic acid partitions as being generated from a same target nucleic acid partition mixture drop, the method comprising: providing a plurality of mixture drops, each mixture drop including copies of at least one target nucleic acid; generating a plurality of reaction partitions from each mixture drop, the reaction partition including one or more primers, wherein one or more marker reagent is present in each reaction partition such that each primer set in a reaction partition is represented by a pre-determined and known unique signal based on the one or more marker reagent identity and/or concentration; and detecting signal from the droplets with a detector, wherein the signal includes a signal whether at least one primer in a partition hybridizes to a target nucleic acid; receiving in a computer a data signal obtained by the detector over a time period, the data signal including signals from a plurality of reaction partitions generated from a plurality of mixture drops, each mixture drop corresponding to a cohort of partitions and including copies of at least one target nucleic acid, each partition including one or more primers, wherein the data signal includes data about whether at least one primer in a partition hybridizes to a target nucleic acid; identifying a hybridization status of each partition based on the respective signal of the respective partition, the hybridization status of a partition indicating whether a primer in the partition hybridized to a target nucleic acid, wherein a signal of a particular partition corresponds to a particular time; for each of a plurality of particular times in the time period: for a time window around the particular time: calculating with the computer an amount of partitions that have contradictory hybridization statuses and include a same primer, thereby obtaining a temporal function; identifying extrema in the temporal function; and determining a cohort of successive partitions occurring between corresponding extrema in the temporal function as corresponding to a same mixture drop. 2. The method of claim 1 , wherein the extrema are minima between peaks. 3. The method of claim 1 , wherein the amount of partitions that have contradictory hybridization statuses corresponds to an amount of primers that are in partitions with contradictory hybridization statuses. 4. The method of claim 1 , wherein the amount of partitions is normalized by a number of distinct partitions in the time window, wherein two partitions are distinct when the two partitions include at least one different primer. 5. The method of claim 1 , wherein the time window is specified as a number of partitions, and wherein the time window is centered around a partition at the particular time. 6. The method of claim 5 , wherein the number of partitions in the time window is selected based on the number of partitions created from a mixture drop. 7. The method of claim 1 , further comprising: identifying that a first cohort of successive partitions correspond to a first mixture drop that includes a first target nucleic acid; determining whether each primer in the first cohort hybridizes to the first target nucleic acid based on the signals for the first cohort; using the primers in the first cohort and a hybridization state of the primers in the first cohort to determine a nucleotide sequence of the first target nucleic acid. 8. The method of claim 1 , wherein the extrema are maxima. 9. The method of claim 1 , wherein more than one different primer sequence occurs in each reaction partition and the method further comprises: determining in the computer the identity of primers occurring in reaction partitions within a cohort that provide negative signal, and removing false positive signals from the identified primers in reaction partitions where signal was detected.
ICT specially adapted for sequence analysis involving nucleotides or amino acids · CPC title
involving nucleic acid arrays, e.g. sequencing by hybridisation · CPC title
by coupling phenotype to genotype, not provided for in other groups of this subclass · CPC title
Physics · mapped topic
Microreactors, e.g. emulsion PCR or sequencing, droplet PCR, microcapsules, i.e. non-liquid containers with a range of different permeability's for different reaction components · CPC title
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