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IMG/M: integrated genome and metagenome comparative data analysis system
The Integrated Microbial Genomes with Microbiome Samples (IMG/M: https://img.jgi.doe.gov/m/) system contains annotated DNA and RNA sequence data of (i) archaeal, bacterial, eukaryotic and viral genomes from cultured organisms, (ii) single cell genomes (SCG) and genomes from metagenomes (GFM) from un...
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/PMC5210632/ https://www.ncbi.nlm.nih.gov/pubmed/27738135 http://dx.doi.org/10.1093/nar/gkw929 |
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author | Chen, I-Min A. Markowitz, Victor M. Chu, Ken Palaniappan, Krishna Szeto, Ernest Pillay, Manoj Ratner, Anna Huang, Jinghua Andersen, Evan Huntemann, Marcel Varghese, Neha Hadjithomas, Michalis Tennessen, Kristin Nielsen, Torben Ivanova, Natalia N. Kyrpides, Nikos C. |
author_facet | Chen, I-Min A. Markowitz, Victor M. Chu, Ken Palaniappan, Krishna Szeto, Ernest Pillay, Manoj Ratner, Anna Huang, Jinghua Andersen, Evan Huntemann, Marcel Varghese, Neha Hadjithomas, Michalis Tennessen, Kristin Nielsen, Torben Ivanova, Natalia N. Kyrpides, Nikos C. |
author_sort | Chen, I-Min A. |
collection | PubMed |
description | The Integrated Microbial Genomes with Microbiome Samples (IMG/M: https://img.jgi.doe.gov/m/) system contains annotated DNA and RNA sequence data of (i) archaeal, bacterial, eukaryotic and viral genomes from cultured organisms, (ii) single cell genomes (SCG) and genomes from metagenomes (GFM) from uncultured archaea, bacteria and viruses and (iii) metagenomes from environmental, host associated and engineered microbiome samples. Sequence data are generated by DOE's Joint Genome Institute (JGI), submitted by individual scientists, or collected from public sequence data archives. Structural and functional annotation is carried out by JGI's genome and metagenome annotation pipelines. A variety of analytical and visualization tools provide support for examining and comparing IMG/M's datasets. IMG/M allows open access interactive analysis of publicly available datasets, while manual curation, submission and access to private datasets and computationally intensive workspace-based analysis require login/password access to its expert review (ER) companion system (IMG/M ER: https://img.jgi.doe.gov/mer/). Since the last report published in the 2014 NAR Database Issue, IMG/M's dataset content has tripled in terms of number of datasets and overall protein coding genes, while its analysis tools have been extended to cope with the rapid growth in the number and size of datasets handled by the system. |
format | Online Article Text |
id | pubmed-5210632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52106322017-01-05 IMG/M: integrated genome and metagenome comparative data analysis system Chen, I-Min A. Markowitz, Victor M. Chu, Ken Palaniappan, Krishna Szeto, Ernest Pillay, Manoj Ratner, Anna Huang, Jinghua Andersen, Evan Huntemann, Marcel Varghese, Neha Hadjithomas, Michalis Tennessen, Kristin Nielsen, Torben Ivanova, Natalia N. Kyrpides, Nikos C. Nucleic Acids Res Database Issue The Integrated Microbial Genomes with Microbiome Samples (IMG/M: https://img.jgi.doe.gov/m/) system contains annotated DNA and RNA sequence data of (i) archaeal, bacterial, eukaryotic and viral genomes from cultured organisms, (ii) single cell genomes (SCG) and genomes from metagenomes (GFM) from uncultured archaea, bacteria and viruses and (iii) metagenomes from environmental, host associated and engineered microbiome samples. Sequence data are generated by DOE's Joint Genome Institute (JGI), submitted by individual scientists, or collected from public sequence data archives. Structural and functional annotation is carried out by JGI's genome and metagenome annotation pipelines. A variety of analytical and visualization tools provide support for examining and comparing IMG/M's datasets. IMG/M allows open access interactive analysis of publicly available datasets, while manual curation, submission and access to private datasets and computationally intensive workspace-based analysis require login/password access to its expert review (ER) companion system (IMG/M ER: https://img.jgi.doe.gov/mer/). Since the last report published in the 2014 NAR Database Issue, IMG/M's dataset content has tripled in terms of number of datasets and overall protein coding genes, while its analysis tools have been extended to cope with the rapid growth in the number and size of datasets handled by the system. Oxford University Press 2017-01-04 2016-10-13 /pmc/articles/PMC5210632/ /pubmed/27738135 http://dx.doi.org/10.1093/nar/gkw929 Text en Published by Oxford University Press on behalf of Nucleic Acids Research 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US. |
spellingShingle | Database Issue Chen, I-Min A. Markowitz, Victor M. Chu, Ken Palaniappan, Krishna Szeto, Ernest Pillay, Manoj Ratner, Anna Huang, Jinghua Andersen, Evan Huntemann, Marcel Varghese, Neha Hadjithomas, Michalis Tennessen, Kristin Nielsen, Torben Ivanova, Natalia N. Kyrpides, Nikos C. IMG/M: integrated genome and metagenome comparative data analysis system |
title | IMG/M: integrated genome and metagenome comparative data analysis system |
title_full | IMG/M: integrated genome and metagenome comparative data analysis system |
title_fullStr | IMG/M: integrated genome and metagenome comparative data analysis system |
title_full_unstemmed | IMG/M: integrated genome and metagenome comparative data analysis system |
title_short | IMG/M: integrated genome and metagenome comparative data analysis system |
title_sort | img/m: integrated genome and metagenome comparative data analysis system |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210632/ https://www.ncbi.nlm.nih.gov/pubmed/27738135 http://dx.doi.org/10.1093/nar/gkw929 |
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