MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis

Network analysis can make variant analysis better. There are existing tools like HotNet2 and dmGWAS that can provide various analytical methods. We developed a prototype of a pipeline called MetaNetVar that allows execution of multiple tools. The code is published at https://github.com/NCBI-Hackatho...

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Detalles Bibliográficos
Autores principales: Moyer, Eric, Hagenauer, Megan, Lesko, Matthew, Francis, Felix, Rodriguez, Oscar, Nagarajan, Vijayaraj, Huser, Vojtech, Busby, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
Software Tool Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857755/
https://www.ncbi.nlm.nih.gov/pubmed/27158457
http://dx.doi.org/10.12688/f1000research.8288.1
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author Moyer, Eric
Hagenauer, Megan
Lesko, Matthew
Francis, Felix
Rodriguez, Oscar
Nagarajan, Vijayaraj
Huser, Vojtech
Busby, Ben
author_facet Moyer, Eric
Hagenauer, Megan
Lesko, Matthew
Francis, Felix
Rodriguez, Oscar
Nagarajan, Vijayaraj
Huser, Vojtech
Busby, Ben
author_sort Moyer, Eric
collection PubMed
description Network analysis can make variant analysis better. There are existing tools like HotNet2 and dmGWAS that can provide various analytical methods. We developed a prototype of a pipeline called MetaNetVar that allows execution of multiple tools. The code is published at https://github.com/NCBI-Hackathons/Network_SNPs. A working prototype is published as an Amazon Machine Image - ami-4510312f .
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spelling pubmed-48577552016-05-06 MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis Moyer, Eric Hagenauer, Megan Lesko, Matthew Francis, Felix Rodriguez, Oscar Nagarajan, Vijayaraj Huser, Vojtech Busby, Ben F1000Res Software Tool Article Network analysis can make variant analysis better. There are existing tools like HotNet2 and dmGWAS that can provide various analytical methods. We developed a prototype of a pipeline called MetaNetVar that allows execution of multiple tools. The code is published at https://github.com/NCBI-Hackathons/Network_SNPs. A working prototype is published as an Amazon Machine Image - ami-4510312f . F1000Research 2016-04-13 /pmc/articles/PMC4857755/ /pubmed/27158457 http://dx.doi.org/10.12688/f1000research.8288.1 Text en Copyright: © 2016 Moyer E et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.
spellingShingle Software Tool Article
Moyer, Eric
Hagenauer, Megan
Lesko, Matthew
Francis, Felix
Rodriguez, Oscar
Nagarajan, Vijayaraj
Huser, Vojtech
Busby, Ben
MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis
title MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis
title_full MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis
title_fullStr MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis
title_full_unstemmed MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis
title_short MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis
title_sort metanetvar: pipeline for applying network analysis tools for genomic variants analysis
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857755/
https://www.ncbi.nlm.nih.gov/pubmed/27158457
http://dx.doi.org/10.12688/f1000research.8288.1
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