Accurately estimating the length distributions of genomic micro-satellites by tumor purity deconvolution

Abstract Background Genomic micro-satellites are the genomic regions that consist of short and repetitive DNA motifs. Estimating the length distribution and state of a micro-satellite region is an important computational step in cancer sequencing data pipelines, which is suggested to facilitate the...

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Principais autores:	Yixuan Wang, Xuanping Zhang, Xiao Xiao, Fei-Ran Zhang, Xinxing Yan, Xuan Feng, Zhongmeng Zhao, Yanfang Guan, Jiayin Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2020-03-01
Series:	BMC Bioinformatics
Assuntos:	Cancer genomics Genomic micro-satellite Length distribution estimation Tumor purity Computational pipeline Sequencing data analysis
Acceso en liña:	http://link.springer.com/article/10.1186/s12859-020-3349-5
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