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The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome
- Source :
- GigaScience, GigaScience, vol 1, iss 1, McDonald, D; Clemente, JC; Kuczynski, J; Rideout, JR; Stombaugh, J; Wendel, D; et al.(2012). The Biological Observation Matrix (BIOM) format or: How I learned to stop worrying and love the ome-ome. GigaScience, 464(1). doi: 10.1186/2047-217X-1-7. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/565380jb, GigaScience, Vol 1, Iss 1, p 7 (2012)
- Publication Year :
- 2012
- Publisher :
- Oxford University Press (OUP), 2012.
-
Abstract
- 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. © 2012 2012 McDonald et al.; licensee BioMed Central Ltd.
- Subjects :
- Computer science
Interoperability
Health Informatics
lcsh:Computer applications to medicine. Medical informatics
Bottleneck
Microbial ecology
Software
VAMPS
Technical Note
Implementation
BIOM
computer.programming_language
MG-RAST
business.industry
Comparative genomics
QIIME
Python (programming language)
File format
JSON
Data science
Computer Science Applications
Metadata
lcsh:R858-859.7
Metagenomics
business
computer
Subjects
Details
- ISSN :
- 2047217X
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- GigaScience
- Accession number :
- edsair.doi.dedup.....8aa7ac9fb0263ae361f78934fc2ac1c9
- Full Text :
- https://doi.org/10.1186/2047-217x-1-7