Monovar: single-nucleotide variant detection in single cells.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 27088313.
- Also identified by DOI 10.1038/nmeth.3835 and PMC identifier 4887298.
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Abstract
Current variant callers are not suitable for single-cell DNA sequencing, as they do not account for allelic dropout, false-positive errors and coverage nonuniformity. We developed Monovar (https://bitbucket.org/hamimzafar/monovar), a statistical method for detecting and genotyping single-nucleotide variants in single-cell data. Monovar exhibited superior performance over standard algorithms on benchmarks and in identifying driver mutations and delineating clonal substructure in three different human tumor data sets.
Medical subject headings
- High-Throughput Nucleotide Sequencing
- Polymorphism, Single Nucleotide
- Sequence Analysis, DNA
- Single-Cell Analysis