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IMG/M: integrated genome and metagenome comparative data analysis system.

作者信息

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

机构信息

Biosciences Computing Group, Computational Science Department, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA

Biosciences Computing Group, Computational Science Department, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA.

出版信息

Nucleic Acids Res. 2017 Jan 4;45(D1):D507-D516. doi: 10.1093/nar/gkw929. Epub 2016 Oct 13.


DOI:10.1093/nar/gkw929
PMID:27738135
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5210632/
Abstract

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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/795d2af47d0a/gkw929fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/aac502099aee/gkw929fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/daad8953e243/gkw929fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/0abb45bbbafc/gkw929fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/ae254013b54b/gkw929fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/943bc98dc48e/gkw929fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/fc2e6f351786/gkw929fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/795d2af47d0a/gkw929fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/aac502099aee/gkw929fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/daad8953e243/gkw929fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/0abb45bbbafc/gkw929fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/ae254013b54b/gkw929fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/943bc98dc48e/gkw929fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/fc2e6f351786/gkw929fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/807b/5210632/795d2af47d0a/gkw929fig7.jpg

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IMG/M: integrated genome and metagenome comparative data analysis system.

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[2]
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[3]
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[4]
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本文引用的文献

[1]
Metagenomics uncovers gaps in amplicon-based detection of microbial diversity.

Nat Microbiol. 2016-2-1

[2]
Uncovering Earth's virome.

Nature. 2016-8-17

[3]
Microbiome Data Science: Understanding Our Microbial Planet.

Trends Microbiol. 2016-6

[4]
Supporting community annotation and user collaboration in the integrated microbial genomes (IMG) system.

BMC Genomics. 2016-4-26

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The standard operating procedure of the DOE-JGI Metagenome Annotation Pipeline (MAP v.4).

Stand Genomic Sci. 2016-2-24

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Global metagenomic survey reveals a new bacterial candidate phylum in geothermal springs.

Nat Commun. 2016-1-27

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Nucleic Acids Res. 2016-1-4

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Nucleic Acids Res. 2016-1-4

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