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

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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Bibliographic Details
Main Authors: Yixuan Wang, Xuanping Zhang, Xiao Xiao, Fei-Ran Zhang, Xinxing Yan, Xuan Feng, Zhongmeng Zhao, Yanfang Guan, Jiayin Wang
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Bioinformatics
Subjects:
Cancer genomics
Genomic micro-satellite
Length distribution estimation
Tumor purity
Computational pipeline
Sequencing data analysis
Online Access:http://link.springer.com/article/10.1186/s12859-020-3349-5

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http://link.springer.com/article/10.1186/s12859-020-3349-5

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