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The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome
BACKGROUND: We present the Biological Observation Matrix (BIOM, pronounced “biome”) format: a JSON-based file format for representing arbitrary observation by sample contingency tables with associated sample and observation metadata. As the number of categories of comparative omics data types (colle...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3626512/ https://www.ncbi.nlm.nih.gov/pubmed/23587224 http://dx.doi.org/10.1186/2047-217X-1-7 |
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author | McDonald, Daniel Clemente, Jose C Kuczynski, Justin Rideout, Jai Ram Stombaugh, Jesse Wendel, Doug Wilke, Andreas Huse, Susan Hufnagle, John Meyer, Folker Knight, Rob Caporaso, J Gregory |
author_facet | McDonald, Daniel Clemente, Jose C Kuczynski, Justin Rideout, Jai Ram Stombaugh, Jesse Wendel, Doug Wilke, Andreas Huse, Susan Hufnagle, John Meyer, Folker Knight, Rob Caporaso, J Gregory |
author_sort | McDonald, Daniel |
collection | PubMed |
description | BACKGROUND: We present the Biological Observation Matrix (BIOM, pronounced “biome”) format: a JSON-based file format for representing arbitrary observation by sample contingency tables with associated sample and observation metadata. As the number of categories of comparative omics data types (collectively, the “ome-ome”) grows rapidly, a general format to represent and archive this data will facilitate the interoperability of existing bioinformatics tools and future meta-analyses. FINDINGS: The BIOM file format is supported by an independent open-source software project (the biom-format project), which initially contains Python objects that support the use and manipulation of BIOM data in Python programs, and is intended to be an open development effort where developers can submit implementations of these objects in other programming languages. CONCLUSIONS: The BIOM file format and the biom-format project are steps toward reducing the “bioinformatics bottleneck” that is currently being experienced in diverse areas of biological sciences, and will help us move toward the next phase of comparative omics where basic science is translated into clinical and environmental applications. The BIOM file format is currently recognized as an Earth Microbiome Project Standard, and as a Candidate Standard by the Genomic Standards Consortium. |
format | Online Article Text |
id | pubmed-3626512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-36265122013-04-24 The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome McDonald, Daniel Clemente, Jose C Kuczynski, Justin Rideout, Jai Ram Stombaugh, Jesse Wendel, Doug Wilke, Andreas Huse, Susan Hufnagle, John Meyer, Folker Knight, Rob Caporaso, J Gregory Gigascience Technical Note BACKGROUND: We present the Biological Observation Matrix (BIOM, pronounced “biome”) format: a JSON-based file format for representing arbitrary observation by sample contingency tables with associated sample and observation metadata. As the number of categories of comparative omics data types (collectively, the “ome-ome”) grows rapidly, a general format to represent and archive this data will facilitate the interoperability of existing bioinformatics tools and future meta-analyses. FINDINGS: The BIOM file format is supported by an independent open-source software project (the biom-format project), which initially contains Python objects that support the use and manipulation of BIOM data in Python programs, and is intended to be an open development effort where developers can submit implementations of these objects in other programming languages. CONCLUSIONS: The BIOM file format and the biom-format project are steps toward reducing the “bioinformatics bottleneck” that is currently being experienced in diverse areas of biological sciences, and will help us move toward the next phase of comparative omics where basic science is translated into clinical and environmental applications. The BIOM file format is currently recognized as an Earth Microbiome Project Standard, and as a Candidate Standard by the Genomic Standards Consortium. BioMed Central 2012-07-12 /pmc/articles/PMC3626512/ /pubmed/23587224 http://dx.doi.org/10.1186/2047-217X-1-7 Text en Copyright © 2012 2012 McDonald et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Note McDonald, Daniel Clemente, Jose C Kuczynski, Justin Rideout, Jai Ram Stombaugh, Jesse Wendel, Doug Wilke, Andreas Huse, Susan Hufnagle, John Meyer, Folker Knight, Rob Caporaso, J Gregory The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome |
title | The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome |
title_full | The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome |
title_fullStr | The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome |
title_full_unstemmed | The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome |
title_short | The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome |
title_sort | biological observation matrix (biom) format or: how i learned to stop worrying and love the ome-ome |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3626512/ https://www.ncbi.nlm.nih.gov/pubmed/23587224 http://dx.doi.org/10.1186/2047-217X-1-7 |
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