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SVAMP: sequence variation analysis, maps and phylogeny
Summary: SVAMP is a stand-alone desktop application to visualize genomic variants (in variant call format) in the context of geographical metadata. Users of SVAMP are able to generate phylogenetic trees and perform principal coordinate analysis in real time from variant call format (VCF) and associa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103593/ https://www.ncbi.nlm.nih.gov/pubmed/24700318 http://dx.doi.org/10.1093/bioinformatics/btu176 |
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author | Naeem, Raeece Hidayah, Lailatul Preston, Mark D. Clark, Taane G. Pain, Arnab |
author_facet | Naeem, Raeece Hidayah, Lailatul Preston, Mark D. Clark, Taane G. Pain, Arnab |
author_sort | Naeem, Raeece |
collection | PubMed |
description | Summary: SVAMP is a stand-alone desktop application to visualize genomic variants (in variant call format) in the context of geographical metadata. Users of SVAMP are able to generate phylogenetic trees and perform principal coordinate analysis in real time from variant call format (VCF) and associated metadata files. Allele frequency map, geographical map of isolates, Tajima’s D metric, single nucleotide polymorphism density, GC and variation density are also available for visualization in real time. We demonstrate the utility of SVAMP in tracking a methicillin-resistant Staphylococcus aureus outbreak from published next-generation sequencing data across 15 countries. We also demonstrate the scalability and accuracy of our software on 245 Plasmodium falciparum malaria isolates from three continents. Availability and implementation: The Qt/C++ software code, binaries, user manual and example datasets are available at http://cbrc.kaust.edu.sa/svamp Contact: arnab.pain@kaust.edu.sa or arnab.pain@cantab.net Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4103593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-41035932014-07-18 SVAMP: sequence variation analysis, maps and phylogeny Naeem, Raeece Hidayah, Lailatul Preston, Mark D. Clark, Taane G. Pain, Arnab Bioinformatics Applications Notes Summary: SVAMP is a stand-alone desktop application to visualize genomic variants (in variant call format) in the context of geographical metadata. Users of SVAMP are able to generate phylogenetic trees and perform principal coordinate analysis in real time from variant call format (VCF) and associated metadata files. Allele frequency map, geographical map of isolates, Tajima’s D metric, single nucleotide polymorphism density, GC and variation density are also available for visualization in real time. We demonstrate the utility of SVAMP in tracking a methicillin-resistant Staphylococcus aureus outbreak from published next-generation sequencing data across 15 countries. We also demonstrate the scalability and accuracy of our software on 245 Plasmodium falciparum malaria isolates from three continents. Availability and implementation: The Qt/C++ software code, binaries, user manual and example datasets are available at http://cbrc.kaust.edu.sa/svamp Contact: arnab.pain@kaust.edu.sa or arnab.pain@cantab.net Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2014-08-01 2014-04-03 /pmc/articles/PMC4103593/ /pubmed/24700318 http://dx.doi.org/10.1093/bioinformatics/btu176 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Naeem, Raeece Hidayah, Lailatul Preston, Mark D. Clark, Taane G. Pain, Arnab SVAMP: sequence variation analysis, maps and phylogeny |
title | SVAMP: sequence variation analysis, maps and phylogeny |
title_full | SVAMP: sequence variation analysis, maps and phylogeny |
title_fullStr | SVAMP: sequence variation analysis, maps and phylogeny |
title_full_unstemmed | SVAMP: sequence variation analysis, maps and phylogeny |
title_short | SVAMP: sequence variation analysis, maps and phylogeny |
title_sort | svamp: sequence variation analysis, maps and phylogeny |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103593/ https://www.ncbi.nlm.nih.gov/pubmed/24700318 http://dx.doi.org/10.1093/bioinformatics/btu176 |
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