CellCoal: Coalescent Simulation of Single-Cell Sequencing Samples Long Description (required)
CellCoal simulates the somatic evolution of single-cells. CellCoal generates a coalescent genealogy for a sample of somatic cells –no recombination– obtained from a growing population, together with a another cell as outgroup, introduces mutations along this genealogy, and produces single-cell diploid genotypes (single-nucleotide variants or SNVs). CellCoal implements multiple mutations models (0/1, DNA, infinite and finite site models, deletion, copy-neutral LOH, 30 cancer signatures) and is able to generate read counts and genotype likelihoods considering allelic dropout, sequencing and amplification error, plus doublet cells. somatic evolution, single-cell genomics, allele dropout, amplification error, coalescent genealogy, multiple mutations models, single-cell diploid genotypes https://github.com/dapogon/cellcoal
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Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 32027371 ],
Posada D ,
CellCoal: Coalescent Simulation of Single-Cell Sequencing Samples. ,
Mol Biol Evol ,
05-01-2020 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=32027371, Primary Citation
[Pubmed ID: 36451239 ],
Kang S, Borgsmüller N, Valecha M, Kuipers J, Alves JM, Prado-López S, Chantada D, Beerenwinkel N, Posada D, Szczurek E ,
SIEVE: joint inference of single-nucleotide variants and cell phylogeny from single-cell DNA sequencing data. ,
Genome Biol ,
11-30-2022 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=36451239, , Application
[Pubmed ID: 36459515 ],
Gao Y, Gaither J, Chifman J, Kubatko L ,
A phylogenetic approach to inferring the order in which mutations arise during cancer progression. ,
PLoS Comput Biol ,
12-02-2022 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=36459515, , Application