利用LICHeE和BAMSE重建肿瘤系统发育树

Q1 Biochemistry, Genetics and Molecular Biology Current protocols in bioinformatics Pub Date : 2018-05-16 DOI:10.1002/cpbi.49
Camir Ricketts, Victoria Popic, Hosein Toosi, Iman Hajirasouliha
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引用次数: 5

摘要

肿瘤系统发育树的重建和疾病进化的量化是一项具有挑战性的任务。LICHeE和BAMSE是最近为此目的设计和实现的两个计算工具。他们都利用多个样本中体细胞突变的变异等位基因分数来推断最可能的癌症系统发育。本单元提供了安装和运行LICHeE和BAMSE的广泛指南。©2018 by John Wiley &儿子,Inc。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Using LICHeE and BAMSE for Reconstructing Cancer Phylogenetic Trees

The reconstruction of cancer phylogeny trees and quantifying the evolution of the disease is a challenging task. LICHeE and BAMSE are two computational tools designed and implemented recently for this purpose. They both utilize estimated variant allele fraction of somatic mutations across multiple samples to infer the most likely cancer phylogenies. This unit provides extensive guidelines for installing and running both LICHeE and BAMSE. © 2018 by John Wiley & Sons, Inc.

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来源期刊
Current protocols in bioinformatics
Current protocols in bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry
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期刊介绍: With Current Protocols in Bioinformatics, it"s easier than ever for the life scientist to become "fluent" in bioinformatics and master the exciting new frontiers opened up by DNA sequencing. Updated every three months in all formats, CPBI is constantly evolving to keep pace with the very latest discoveries and developments.
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