CELLO:a longitudinal data analysis toolbox untangling cancer evolution  

作　　者：Biaobin Jiang Dong Song Quanhua Mu Jiguang Wang 

机构地区：[1]Department of Chemical and Biological Engineering,The Hong Kong University of Science and Tech no logy,Hong Kong,China [2]Division of Life Science,The Hong Kong University of Science and Technology,Hong Kong,China [3]Center of Systems Biology and Human Health,The Hong Kong University of Science and Technology,Hong Kong,China [4]State Key Laboratory of Molecular Neuroscienee,The Hong Kong University of Science and Technology,Hong Kong,China

出　　处：《Quantitative Biology》2020年第3期256-266,共11页定量生物学（英文版）

基　　金：This work is supported by the grants from the National Natural Science Foundation of China(31922088);Research Grant Council(N HKUST606/17,26102719,C7065-18GF,C4039-19GF);Innovation and Technology Commission(ITCPD/17-9,ITS/480/18FP);Hong Kong Branch of Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)(SMSEGL20SC01).

摘　　要：The complex pattern of cancer evolution poses a huge challenge to precision oncology.Longitudinal sequencing of tumor samples allows us to monitor the dynamics of mutations that occurred during this clonal evolution process.Here,we present a versatile toolbox,namely CELLO(Cancer EvoLution for Longitudinal data),accompanied with a step-by-step tutorial,to exemplify how to profile,analyze and visualize the dynamic change of somatic mutational landscape using longitudinal genomic sequencing data.Moreover,we customize the hypermutation detection module in CELLO to adapt targeted-DNA and whole-transcriptome sequencing data,and verify the extensive applicability of CELLO in published longitudinal datasets from brain,bladder and breast cancers.The entire tutorial and reusable programs in MATLAB,R and docker versions are open access at https://github.com/WaiigLabHKUST/CELLO.

关 键 词：cancer evolution GENOMICS longitudinal sequencing BIOINFORMATICS 

分 类 号：Q81[生物学—生物工程]