Cargando…
Methods for copy number aberration detection from single-cell DNA-sequencing data
Copy number aberrations (CNAs), which are pathogenic copy number variations (CNVs), play an important role in the initiation and progression of cancer. Single-cell DNA-sequencing (scDNAseq) technologies produce data that is ideal for inferring CNAs. In this review, we review eight methods that have...
Autores principales: | Mallory, Xian F., Edrisi, Mohammadamin, Navin, Nicholas, Nakhleh, Luay |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433197/ https://www.ncbi.nlm.nih.gov/pubmed/32807205 http://dx.doi.org/10.1186/s13059-020-02119-8 |
Ejemplares similares
-
Assessing the performance of methods for copy number aberration detection from single-cell DNA sequencing data
por: Mallory, Xian F., et al.
Publicado: (2020) -
Phylovar: toward scalable phylogeny-aware inference of single-nucleotide variations from single-cell DNA sequencing data
por: Edrisi, Mohammadamin, et al.
Publicado: (2022) -
Monovar: single nucleotide variant detection in single cells
por: Zafar, Hamim, et al.
Publicado: (2016) -
SiCloneFit: Bayesian inference of population structure, genotype, and phylogeny of tumor clones from single-cell genome sequencing data
por: Zafar, Hamim, et al.
Publicado: (2019) -
SiFit: inferring tumor trees from single-cell sequencing data under finite-sites models
por: Zafar, Hamim, et al.
Publicado: (2017)