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IMG/M: a data management and analysis system for metagenomes

IMG/M is a data management and analysis system for microbial community genomes (metagenomes) hosted at the Department of Energy's (DOE) Joint Genome Institute (JGI). IMG/M consists of metagenome data integrated with isolate microbial genomes from the Integrated Microbial Genomes (IMG) system. I...

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Autores principales: Markowitz, Victor M., Ivanova, Natalia N., Szeto, Ernest, Palaniappan, Krishna, Chu, Ken, Dalevi, Daniel, Chen, I-Min A., Grechkin, Yuri, Dubchak, Inna, Anderson, Iain, Lykidis, Athanasios, Mavromatis, Konstantinos, Hugenholtz, Philip, Kyrpides, Nikos C.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238950/
https://www.ncbi.nlm.nih.gov/pubmed/17932063
http://dx.doi.org/10.1093/nar/gkm869
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author Markowitz, Victor M.
Ivanova, Natalia N.
Szeto, Ernest
Palaniappan, Krishna
Chu, Ken
Dalevi, Daniel
Chen, I-Min A.
Grechkin, Yuri
Dubchak, Inna
Anderson, Iain
Lykidis, Athanasios
Mavromatis, Konstantinos
Hugenholtz, Philip
Kyrpides, Nikos C.
author_facet Markowitz, Victor M.
Ivanova, Natalia N.
Szeto, Ernest
Palaniappan, Krishna
Chu, Ken
Dalevi, Daniel
Chen, I-Min A.
Grechkin, Yuri
Dubchak, Inna
Anderson, Iain
Lykidis, Athanasios
Mavromatis, Konstantinos
Hugenholtz, Philip
Kyrpides, Nikos C.
author_sort Markowitz, Victor M.
collection PubMed
description IMG/M is a data management and analysis system for microbial community genomes (metagenomes) hosted at the Department of Energy's (DOE) Joint Genome Institute (JGI). IMG/M consists of metagenome data integrated with isolate microbial genomes from the Integrated Microbial Genomes (IMG) system. IMG/M provides IMG's comparative data analysis tools extended to handle metagenome data, together with metagenome-specific analysis tools. IMG/M is available at http://img.jgi.doe.gov/m
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spelling pubmed-22389502008-02-12 IMG/M: a data management and analysis system for metagenomes Markowitz, Victor M. Ivanova, Natalia N. Szeto, Ernest Palaniappan, Krishna Chu, Ken Dalevi, Daniel Chen, I-Min A. Grechkin, Yuri Dubchak, Inna Anderson, Iain Lykidis, Athanasios Mavromatis, Konstantinos Hugenholtz, Philip Kyrpides, Nikos C. Nucleic Acids Res Articles IMG/M is a data management and analysis system for microbial community genomes (metagenomes) hosted at the Department of Energy's (DOE) Joint Genome Institute (JGI). IMG/M consists of metagenome data integrated with isolate microbial genomes from the Integrated Microbial Genomes (IMG) system. IMG/M provides IMG's comparative data analysis tools extended to handle metagenome data, together with metagenome-specific analysis tools. IMG/M is available at http://img.jgi.doe.gov/m Oxford University Press 2008-01 2007-10-11 /pmc/articles/PMC2238950/ /pubmed/17932063 http://dx.doi.org/10.1093/nar/gkm869 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Markowitz, Victor M.
Ivanova, Natalia N.
Szeto, Ernest
Palaniappan, Krishna
Chu, Ken
Dalevi, Daniel
Chen, I-Min A.
Grechkin, Yuri
Dubchak, Inna
Anderson, Iain
Lykidis, Athanasios
Mavromatis, Konstantinos
Hugenholtz, Philip
Kyrpides, Nikos C.
IMG/M: a data management and analysis system for metagenomes
title IMG/M: a data management and analysis system for metagenomes
title_full IMG/M: a data management and analysis system for metagenomes
title_fullStr IMG/M: a data management and analysis system for metagenomes
title_full_unstemmed IMG/M: a data management and analysis system for metagenomes
title_short IMG/M: a data management and analysis system for metagenomes
title_sort img/m: a data management and analysis system for metagenomes
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238950/
https://www.ncbi.nlm.nih.gov/pubmed/17932063
http://dx.doi.org/10.1093/nar/gkm869
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