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Interactive microbial distribution analysis using BioAtlas
Massive amounts of 16S rRNA sequencing data have been stored in publicly accessible databases, such as GOLD, SILVA, GreenGenes (GG), and the Ribosomal Database Project (RDP). Many of these sequences are tagged with geo-locations. Nevertheless, researchers currently lack a user-friendly tool to analy...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570126/ https://www.ncbi.nlm.nih.gov/pubmed/28460071 http://dx.doi.org/10.1093/nar/gkx304 |
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author | Lund, Jesper Beltoft List, Markus Baumbach, Jan |
author_facet | Lund, Jesper Beltoft List, Markus Baumbach, Jan |
author_sort | Lund, Jesper Beltoft |
collection | PubMed |
description | Massive amounts of 16S rRNA sequencing data have been stored in publicly accessible databases, such as GOLD, SILVA, GreenGenes (GG), and the Ribosomal Database Project (RDP). Many of these sequences are tagged with geo-locations. Nevertheless, researchers currently lack a user-friendly tool to analyze microbial distribution in a location-specific context. BioAtlas is an interactive web application that closes this gap between sequence databases, taxonomy profiling and geo/body-location information. It enables users to browse taxonomically annotated sequences across (i) the world map, (ii) human body maps and (iii) user-defined maps. It further allows for (iv) uploading of own sample data, which can be placed on existing maps to (v) browse the distribution of the associated taxonomies. Finally, BioAtlas enables users to (vi) contribute custom maps (e.g. for plants or animals) and to map taxonomies to pre-defined map locations. In summary, BioAtlas facilitates map-supported browsing of public 16S rRNA sequence data and analyses of user-provided sequences without requiring manual mapping to taxonomies and existing databases. Availability: http://bioatlas.compbio.sdu.dk/ |
format | Online Article Text |
id | pubmed-5570126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55701262017-08-29 Interactive microbial distribution analysis using BioAtlas Lund, Jesper Beltoft List, Markus Baumbach, Jan Nucleic Acids Res Web Server Issue Massive amounts of 16S rRNA sequencing data have been stored in publicly accessible databases, such as GOLD, SILVA, GreenGenes (GG), and the Ribosomal Database Project (RDP). Many of these sequences are tagged with geo-locations. Nevertheless, researchers currently lack a user-friendly tool to analyze microbial distribution in a location-specific context. BioAtlas is an interactive web application that closes this gap between sequence databases, taxonomy profiling and geo/body-location information. It enables users to browse taxonomically annotated sequences across (i) the world map, (ii) human body maps and (iii) user-defined maps. It further allows for (iv) uploading of own sample data, which can be placed on existing maps to (v) browse the distribution of the associated taxonomies. Finally, BioAtlas enables users to (vi) contribute custom maps (e.g. for plants or animals) and to map taxonomies to pre-defined map locations. In summary, BioAtlas facilitates map-supported browsing of public 16S rRNA sequence data and analyses of user-provided sequences without requiring manual mapping to taxonomies and existing databases. Availability: http://bioatlas.compbio.sdu.dk/ Oxford University Press 2017-07-03 2017-04-29 /pmc/articles/PMC5570126/ /pubmed/28460071 http://dx.doi.org/10.1093/nar/gkx304 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Lund, Jesper Beltoft List, Markus Baumbach, Jan Interactive microbial distribution analysis using BioAtlas |
title | Interactive microbial distribution analysis using BioAtlas |
title_full | Interactive microbial distribution analysis using BioAtlas |
title_fullStr | Interactive microbial distribution analysis using BioAtlas |
title_full_unstemmed | Interactive microbial distribution analysis using BioAtlas |
title_short | Interactive microbial distribution analysis using BioAtlas |
title_sort | interactive microbial distribution analysis using bioatlas |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570126/ https://www.ncbi.nlm.nih.gov/pubmed/28460071 http://dx.doi.org/10.1093/nar/gkx304 |
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