Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance-Reference-Cited by-同舟云学术

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Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance

Published:2019-09-12 Issue:9 Volume:14 Page:e0221235
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Omichessan Hanane,Severi Gianluca,Perduca Vittorio^ORCID

Funder

La Ligue contre le Cancer

Institut National du Cancer

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference39 articles.

1. The cancer genome;MR Stratton;Nature,2009

2. Deciphering Signatures of Mutational Processes Operative in Human Cancer;LB Alexandrov;Cell Reports,2013

3. COSMIC: somatic cancer genetics at high-resolution;SA Forbes;Nucleic Acids Research,2017

4. The Repertoire of Mutational Signatures in Human Cancer;LB Alexandrov;bioRxiv,2018

5. Maftools: Efficient analysis, visualization and summarization of MAF files from large-scale cohort based cancer studies;A Mayakonda;bioRxiv,2016

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