SIEVE: joint inference of single-nucleotide variants and cell phylogeny from single-cell DNA sequencing data

We present SIEVE, a statistical method for the joint inference of somatic variants and cell phylogeny under the finite-sites assumption from single-cell DNA sequencing. SIEVE leverages raw read counts for all nucleotides and corrects the acquisition bias of branch lengths. In our simulations, SIEVE...

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Detalles Bibliográficos
Autores principales: Kang, Senbai, Borgsmüller, Nico, Valecha, Monica, Kuipers, Jack, Alves, Joao M., Prado-López, Sonia, Chantada, Débora, Beerenwinkel, Niko, Posada, David, Szczurek, Ewa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714196/
https://www.ncbi.nlm.nih.gov/pubmed/36451239
http://dx.doi.org/10.1186/s13059-022-02813-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714196/
https://www.ncbi.nlm.nih.gov/pubmed/36451239
http://dx.doi.org/10.1186/s13059-022-02813-9

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