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PorthoMCL: Parallel orthology prediction using MCL for the realm of massive genome availability
BACKGROUND: Finding orthologous genes among multiple sequenced genomes is a primary step in comparative genomics studies. With the number of sequenced genomes increasing exponentially, comparative genomics becomes more powerful than ever for genomic analysis. However, the very large number of genome...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731588/ https://www.ncbi.nlm.nih.gov/pubmed/33312711 http://dx.doi.org/10.1186/s41044-016-0019-8 |
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author | Tabari, Ehsan Su, Zhengchang |
author_facet | Tabari, Ehsan Su, Zhengchang |
author_sort | Tabari, Ehsan |
collection | PubMed |
description | BACKGROUND: Finding orthologous genes among multiple sequenced genomes is a primary step in comparative genomics studies. With the number of sequenced genomes increasing exponentially, comparative genomics becomes more powerful than ever for genomic analysis. However, the very large number of genomes in need of analysis makes conventional orthology prediction methods incapable of this task. Thus, an ultrafast tool is urgently needed. RESULTS: Here, we present PorthoMCL, a fast tool for finding orthologous genes among a very large number of genomes. PorthoMCL can be run on a single machine or in parallel on computer clusters. We have demonstrated PorthoMCL’s capability by identifying orthologs in 2,758 prokaryotic genomes. The results are available for download at: http://ehsun.me/go/porthomcl/. CONCLUSIONS: PorthoMCL is a fast and easy to run tool for identifying orthology among any number of genomes with minimal requirements. PorthoMCL will facilitate comparative genomics analysis with increasing number of available genomes thanks to the rapidly evolving sequencing technologies. |
format | Online Article Text |
id | pubmed-7731588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-77315882020-12-11 PorthoMCL: Parallel orthology prediction using MCL for the realm of massive genome availability Tabari, Ehsan Su, Zhengchang Big Data Anal Article BACKGROUND: Finding orthologous genes among multiple sequenced genomes is a primary step in comparative genomics studies. With the number of sequenced genomes increasing exponentially, comparative genomics becomes more powerful than ever for genomic analysis. However, the very large number of genomes in need of analysis makes conventional orthology prediction methods incapable of this task. Thus, an ultrafast tool is urgently needed. RESULTS: Here, we present PorthoMCL, a fast tool for finding orthologous genes among a very large number of genomes. PorthoMCL can be run on a single machine or in parallel on computer clusters. We have demonstrated PorthoMCL’s capability by identifying orthologs in 2,758 prokaryotic genomes. The results are available for download at: http://ehsun.me/go/porthomcl/. CONCLUSIONS: PorthoMCL is a fast and easy to run tool for identifying orthology among any number of genomes with minimal requirements. PorthoMCL will facilitate comparative genomics analysis with increasing number of available genomes thanks to the rapidly evolving sequencing technologies. 2017-01-10 2017 /pmc/articles/PMC7731588/ /pubmed/33312711 http://dx.doi.org/10.1186/s41044-016-0019-8 Text en Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Article Tabari, Ehsan Su, Zhengchang PorthoMCL: Parallel orthology prediction using MCL for the realm of massive genome availability |
title | PorthoMCL: Parallel orthology prediction using MCL for the realm of massive genome availability |
title_full | PorthoMCL: Parallel orthology prediction using MCL for the realm of massive genome availability |
title_fullStr | PorthoMCL: Parallel orthology prediction using MCL for the realm of massive genome availability |
title_full_unstemmed | PorthoMCL: Parallel orthology prediction using MCL for the realm of massive genome availability |
title_short | PorthoMCL: Parallel orthology prediction using MCL for the realm of massive genome availability |
title_sort | porthomcl: parallel orthology prediction using mcl for the realm of massive genome availability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731588/ https://www.ncbi.nlm.nih.gov/pubmed/33312711 http://dx.doi.org/10.1186/s41044-016-0019-8 |
work_keys_str_mv | AT tabariehsan porthomclparallelorthologypredictionusingmclfortherealmofmassivegenomeavailability AT suzhengchang porthomclparallelorthologypredictionusingmclfortherealmofmassivegenomeavailability |