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Xome-Blender: A novel cancer genome simulator
The adoption of next generation sequencing based methods in cancer research allowed for the investigation of the complex genetic structure of tumor samples. In the last few years, considerable importance was given to the research of somatic variants and several computational approaches were develope...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886411/ https://www.ncbi.nlm.nih.gov/pubmed/29621252 http://dx.doi.org/10.1371/journal.pone.0194472 |
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author | Semeraro, Roberto Orlandini, Valerio Magi, Alberto |
author_facet | Semeraro, Roberto Orlandini, Valerio Magi, Alberto |
author_sort | Semeraro, Roberto |
collection | PubMed |
description | The adoption of next generation sequencing based methods in cancer research allowed for the investigation of the complex genetic structure of tumor samples. In the last few years, considerable importance was given to the research of somatic variants and several computational approaches were developed for this purpose. Despite continuous improvements to these programs, the validation of their results it’s a hard challenge due to multiple sources of error. To overcome this drawback different simulation approaches are used to generate synthetic samples but they are often based on the addition of artificial mutations that mimic the complexity of genomic variations. For these reasons, we developed a novel software, Xome-Blender, that generates synthetic cancer genomes with user defined features such as the number of subclones, the number of somatic variants and the presence of copy number alterations (CNAs), without the addition of any synthetic element. The singularity of our method is the “morphological approach” used to generate mutation events. To demonstrate the power of our tool we used it to address the hard challenge of evaluating the performance of nine state-of-the-art somatic variant calling methods for small and large variants (VarScan2, MuTect, Shimmer, BCFtools, Strelka, EXCAVATOR2, Control-FREEC and CopywriteR). Through these analyses we observed that by using Xome-Blender data it is possible to appraise small differences between their performance and we have designated VarScan2 and EXCAVATOR2 as best tool for this kind of applications. Xome-Blender is unix-based, licensed under the GPLv3 and freely available at https://github.com/rsemeraro/XomeBlender. |
format | Online Article Text |
id | pubmed-5886411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58864112018-04-20 Xome-Blender: A novel cancer genome simulator Semeraro, Roberto Orlandini, Valerio Magi, Alberto PLoS One Research Article The adoption of next generation sequencing based methods in cancer research allowed for the investigation of the complex genetic structure of tumor samples. In the last few years, considerable importance was given to the research of somatic variants and several computational approaches were developed for this purpose. Despite continuous improvements to these programs, the validation of their results it’s a hard challenge due to multiple sources of error. To overcome this drawback different simulation approaches are used to generate synthetic samples but they are often based on the addition of artificial mutations that mimic the complexity of genomic variations. For these reasons, we developed a novel software, Xome-Blender, that generates synthetic cancer genomes with user defined features such as the number of subclones, the number of somatic variants and the presence of copy number alterations (CNAs), without the addition of any synthetic element. The singularity of our method is the “morphological approach” used to generate mutation events. To demonstrate the power of our tool we used it to address the hard challenge of evaluating the performance of nine state-of-the-art somatic variant calling methods for small and large variants (VarScan2, MuTect, Shimmer, BCFtools, Strelka, EXCAVATOR2, Control-FREEC and CopywriteR). Through these analyses we observed that by using Xome-Blender data it is possible to appraise small differences between their performance and we have designated VarScan2 and EXCAVATOR2 as best tool for this kind of applications. Xome-Blender is unix-based, licensed under the GPLv3 and freely available at https://github.com/rsemeraro/XomeBlender. Public Library of Science 2018-04-05 /pmc/articles/PMC5886411/ /pubmed/29621252 http://dx.doi.org/10.1371/journal.pone.0194472 Text en © 2018 Semeraro et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Semeraro, Roberto Orlandini, Valerio Magi, Alberto Xome-Blender: A novel cancer genome simulator |
title | Xome-Blender: A novel cancer genome simulator |
title_full | Xome-Blender: A novel cancer genome simulator |
title_fullStr | Xome-Blender: A novel cancer genome simulator |
title_full_unstemmed | Xome-Blender: A novel cancer genome simulator |
title_short | Xome-Blender: A novel cancer genome simulator |
title_sort | xome-blender: a novel cancer genome simulator |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886411/ https://www.ncbi.nlm.nih.gov/pubmed/29621252 http://dx.doi.org/10.1371/journal.pone.0194472 |
work_keys_str_mv | AT semeraroroberto xomeblenderanovelcancergenomesimulator AT orlandinivalerio xomeblenderanovelcancergenomesimulator AT magialberto xomeblenderanovelcancergenomesimulator |