Cargando…
A review of somatic single nucleotide variant calling algorithms for next-generation sequencing data
Detection of somatic mutations holds great potential in cancer treatment and has been a very active research field in the past few years, especially since the breakthrough of the next-generation sequencing technology. A collection of variant calling pipelines have been developed with different under...
Autor principal: | Xu, Chang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852328/ https://www.ncbi.nlm.nih.gov/pubmed/29552334 http://dx.doi.org/10.1016/j.csbj.2018.01.003 |
Ejemplares similares
-
Somatic variant calling from single-cell DNA sequencing data
por: Valecha, Monica, et al.
Publicado: (2022) -
SNVHMM: predicting single nucleotide variants from next generation sequencing
por: Bian, Jiawen, et al.
Publicado: (2013) -
Comparison of insertion/deletion calling algorithms on human next-generation sequencing data
por: Ghoneim, Dalia H, et al.
Publicado: (2014) -
Reproducibility of Variant Calls in Replicate Next Generation Sequencing Experiments
por: Qi, Yuan, et al.
Publicado: (2015) -
SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors
por: Goya, Rodrigo, et al.
Publicado: (2010)