Conbase
Conbase detects clonal somatic mutations and genotypes in single-cell DNA sequencing data using phased read information across multiple samples.
Key Features:
- Unsupervised Somatic Mutation Discovery: Identifies clonal somatic mutations without supervision using information from multiple samples.
- Phased Read Integration: Utilizes phased read data across samples to increase confidence in somatic variant detection and genotype assignment.
- Variant Calling and Genotyping: Performs somatic variant calling and genotype inference in single-cell sequencing datasets.
- High Specificity Detection: Demonstrates improved false discovery rate and specificity compared with alternative variant-calling methods.
Scientific Applications:
- Single-Cell Genomics: Identifies somatic mutations in single-cell DNA sequencing datasets.
- Clonal Mutation Analysis: Detects clonal mutations in cell populations such as fibroblasts and lymphocytes.
- Genetic Variation Studies: Investigates mutation patterns in cultured cells and human donor-derived cell populations.
Methodology:
Conbase integrates phased read data across multiple samples to perform unsupervised detection of somatic variants and genotype inference in single-cell DNA sequencing data.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 6/20/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Hård J, Al Hakim E, Kindblom M, Björklund ÅK, Sennblad B, Demirci I, Paterlini M, Reu P, Borgström E, Ståhl PL, Michaelsson J, Mold JE, Frisén J. Conbase: a software for unsupervised discovery of clonal somatic mutations in single cells through read phasing. Genome Biology. 2019;20(1). doi:10.1186/s13059-019-1673-8. PMID:30935387. PMCID:PMC6444814.
Documentation
Links
Issue tracker
https://github.com/conbase/conbase/issues