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PVCTools: parallel variation calling tools

As the development of sequencing technology, it is now possible to sequence individuals of each species. Although a number of different tools have been developed to detect individual variations, most of them cannot be run in parallel modes. To accelerate variation detection, PVCTools is introduced i...

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Detalles Bibliográficos
Autores principales: Jin, Jingjing, Liu, Jiajun, Yin, Yelin, Li, Zefeng, Lu, Peng, Xu, Yalong, Zhang, Jianfeng, Cao, Peijian, Hu, Dasha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812194/
https://www.ncbi.nlm.nih.gov/pubmed/31667383
http://dx.doi.org/10.1016/j.heliyon.2019.e02530
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author Jin, Jingjing
Liu, Jiajun
Yin, Yelin
Li, Zefeng
Lu, Peng
Xu, Yalong
Zhang, Jianfeng
Cao, Peijian
Hu, Dasha
author_facet Jin, Jingjing
Liu, Jiajun
Yin, Yelin
Li, Zefeng
Lu, Peng
Xu, Yalong
Zhang, Jianfeng
Cao, Peijian
Hu, Dasha
author_sort Jin, Jingjing
collection PubMed
description As the development of sequencing technology, it is now possible to sequence individuals of each species. Although a number of different tools have been developed to detect individual variations, most of them cannot be run in parallel modes. To accelerate variation detection, PVCTools is introduced in this study. PVCTools splits the reference genome and alignment files into small pieces and runs them in parallel mode. Meanwhile, boundary noise is also considered in PVCTools. From the result of three different sets of test data, PVCTools performs much faster than most other current tools. At the same time, it keeps similar accuracy with other tools. PVCTools is free and open source software. The development of sequencing technology and growing sample numbers will make performance improvements such as PVCTools increasingly interesting.
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spelling pubmed-68121942019-10-30 PVCTools: parallel variation calling tools Jin, Jingjing Liu, Jiajun Yin, Yelin Li, Zefeng Lu, Peng Xu, Yalong Zhang, Jianfeng Cao, Peijian Hu, Dasha Heliyon Article As the development of sequencing technology, it is now possible to sequence individuals of each species. Although a number of different tools have been developed to detect individual variations, most of them cannot be run in parallel modes. To accelerate variation detection, PVCTools is introduced in this study. PVCTools splits the reference genome and alignment files into small pieces and runs them in parallel mode. Meanwhile, boundary noise is also considered in PVCTools. From the result of three different sets of test data, PVCTools performs much faster than most other current tools. At the same time, it keeps similar accuracy with other tools. PVCTools is free and open source software. The development of sequencing technology and growing sample numbers will make performance improvements such as PVCTools increasingly interesting. Elsevier 2019-10-03 /pmc/articles/PMC6812194/ /pubmed/31667383 http://dx.doi.org/10.1016/j.heliyon.2019.e02530 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jin, Jingjing
Liu, Jiajun
Yin, Yelin
Li, Zefeng
Lu, Peng
Xu, Yalong
Zhang, Jianfeng
Cao, Peijian
Hu, Dasha
PVCTools: parallel variation calling tools
title PVCTools: parallel variation calling tools
title_full PVCTools: parallel variation calling tools
title_fullStr PVCTools: parallel variation calling tools
title_full_unstemmed PVCTools: parallel variation calling tools
title_short PVCTools: parallel variation calling tools
title_sort pvctools: parallel variation calling tools
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812194/
https://www.ncbi.nlm.nih.gov/pubmed/31667383
http://dx.doi.org/10.1016/j.heliyon.2019.e02530
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