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IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes

The Integrated Microbial Genome/Virus (IMG/VR) system v.2.0 (https://img.jgi.doe.gov/vr/) is the largest publicly available data management and analysis platform dedicated to viral genomics. Since the last report published in the 2016, NAR Database Issue, the data has tripled in size and currently c...

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Autores principales: Paez-Espino, David, Roux, Simon, Chen, I-Min A, Palaniappan, Krishna, Ratner, Anna, Chu, Ken, Huntemann, Marcel, Reddy, T B K, Pons, Joan Carles, Llabrés, Mercè, Eloe-Fadrosh, Emiley A, Ivanova, Natalia N, Kyrpides, Nikos C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323928/
https://www.ncbi.nlm.nih.gov/pubmed/30407573
http://dx.doi.org/10.1093/nar/gky1127
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author Paez-Espino, David
Roux, Simon
Chen, I-Min A
Palaniappan, Krishna
Ratner, Anna
Chu, Ken
Huntemann, Marcel
Reddy, T B K
Pons, Joan Carles
Llabrés, Mercè
Eloe-Fadrosh, Emiley A
Ivanova, Natalia N
Kyrpides, Nikos C
author_facet Paez-Espino, David
Roux, Simon
Chen, I-Min A
Palaniappan, Krishna
Ratner, Anna
Chu, Ken
Huntemann, Marcel
Reddy, T B K
Pons, Joan Carles
Llabrés, Mercè
Eloe-Fadrosh, Emiley A
Ivanova, Natalia N
Kyrpides, Nikos C
author_sort Paez-Espino, David
collection PubMed
description The Integrated Microbial Genome/Virus (IMG/VR) system v.2.0 (https://img.jgi.doe.gov/vr/) is the largest publicly available data management and analysis platform dedicated to viral genomics. Since the last report published in the 2016, NAR Database Issue, the data has tripled in size and currently contains genomes of 8389 cultivated reference viruses, 12 498 previously published curated prophages derived from cultivated microbial isolates, and 735 112 viral genomic fragments computationally predicted from assembled shotgun metagenomes. Nearly 60% of the viral genomes and genome fragments are clustered into 110 384 viral Operational Taxonomic Units (vOTUs) with two or more members. To improve data quality and predictions of host specificity, IMG/VR v.2.0 now separates prokaryotic and eukaryotic viruses, utilizes known prophage sequences to improve taxonomic assignments, and provides viral genome quality scores based on the estimated genome completeness. New features also include enhanced BLAST search capabilities for external queries. Finally, geographic map visualization to locate user-selected viral genomes or genome fragments has been implemented and download options have been extended. All of these features make IMG/VR v.2.0 a key resource for the study of viruses.
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spelling pubmed-63239282019-01-10 IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes Paez-Espino, David Roux, Simon Chen, I-Min A Palaniappan, Krishna Ratner, Anna Chu, Ken Huntemann, Marcel Reddy, T B K Pons, Joan Carles Llabrés, Mercè Eloe-Fadrosh, Emiley A Ivanova, Natalia N Kyrpides, Nikos C Nucleic Acids Res Database Issue The Integrated Microbial Genome/Virus (IMG/VR) system v.2.0 (https://img.jgi.doe.gov/vr/) is the largest publicly available data management and analysis platform dedicated to viral genomics. Since the last report published in the 2016, NAR Database Issue, the data has tripled in size and currently contains genomes of 8389 cultivated reference viruses, 12 498 previously published curated prophages derived from cultivated microbial isolates, and 735 112 viral genomic fragments computationally predicted from assembled shotgun metagenomes. Nearly 60% of the viral genomes and genome fragments are clustered into 110 384 viral Operational Taxonomic Units (vOTUs) with two or more members. To improve data quality and predictions of host specificity, IMG/VR v.2.0 now separates prokaryotic and eukaryotic viruses, utilizes known prophage sequences to improve taxonomic assignments, and provides viral genome quality scores based on the estimated genome completeness. New features also include enhanced BLAST search capabilities for external queries. Finally, geographic map visualization to locate user-selected viral genomes or genome fragments has been implemented and download options have been extended. All of these features make IMG/VR v.2.0 a key resource for the study of viruses. Oxford University Press 2019-01-08 2018-11-08 /pmc/articles/PMC6323928/ /pubmed/30407573 http://dx.doi.org/10.1093/nar/gky1127 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Paez-Espino, David
Roux, Simon
Chen, I-Min A
Palaniappan, Krishna
Ratner, Anna
Chu, Ken
Huntemann, Marcel
Reddy, T B K
Pons, Joan Carles
Llabrés, Mercè
Eloe-Fadrosh, Emiley A
Ivanova, Natalia N
Kyrpides, Nikos C
IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes
title IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes
title_full IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes
title_fullStr IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes
title_full_unstemmed IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes
title_short IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes
title_sort img/vr v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323928/
https://www.ncbi.nlm.nih.gov/pubmed/30407573
http://dx.doi.org/10.1093/nar/gky1127
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