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eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses
eggNOG is a public database of orthology relationships, gene evolutionary histories and functional annotations. Here, we present version 5.0, featuring a major update of the underlying genome sets, which have been expanded to 4445 representative bacteria and 168 archaea derived from 25 038 genomes,...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324079/ https://www.ncbi.nlm.nih.gov/pubmed/30418610 http://dx.doi.org/10.1093/nar/gky1085 |
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author | Huerta-Cepas, Jaime Szklarczyk, Damian Heller, Davide Hernández-Plaza, Ana Forslund, Sofia K Cook, Helen Mende, Daniel R Letunic, Ivica Rattei, Thomas Jensen, Lars J von Mering, Christian Bork, Peer |
author_facet | Huerta-Cepas, Jaime Szklarczyk, Damian Heller, Davide Hernández-Plaza, Ana Forslund, Sofia K Cook, Helen Mende, Daniel R Letunic, Ivica Rattei, Thomas Jensen, Lars J von Mering, Christian Bork, Peer |
author_sort | Huerta-Cepas, Jaime |
collection | PubMed |
description | eggNOG is a public database of orthology relationships, gene evolutionary histories and functional annotations. Here, we present version 5.0, featuring a major update of the underlying genome sets, which have been expanded to 4445 representative bacteria and 168 archaea derived from 25 038 genomes, as well as 477 eukaryotic organisms and 2502 viral proteomes that were selected for diversity and filtered by genome quality. In total, 4.4M orthologous groups (OGs) distributed across 379 taxonomic levels were computed together with their associated sequence alignments, phylogenies, HMM models and functional descriptors. Precomputed evolutionary analysis provides fine-grained resolution of duplication/speciation events within each OG. Our benchmarks show that, despite doubling the amount of genomes, the quality of orthology assignments and functional annotations (80% coverage) has persisted without significant changes across this update. Finally, we improved eggNOG online services for fast functional annotation and orthology prediction of custom genomics or metagenomics datasets. All precomputed data are publicly available for downloading or via API queries at http://eggnog.embl.de |
format | Online Article Text |
id | pubmed-6324079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63240792019-01-10 eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses Huerta-Cepas, Jaime Szklarczyk, Damian Heller, Davide Hernández-Plaza, Ana Forslund, Sofia K Cook, Helen Mende, Daniel R Letunic, Ivica Rattei, Thomas Jensen, Lars J von Mering, Christian Bork, Peer Nucleic Acids Res Database Issue eggNOG is a public database of orthology relationships, gene evolutionary histories and functional annotations. Here, we present version 5.0, featuring a major update of the underlying genome sets, which have been expanded to 4445 representative bacteria and 168 archaea derived from 25 038 genomes, as well as 477 eukaryotic organisms and 2502 viral proteomes that were selected for diversity and filtered by genome quality. In total, 4.4M orthologous groups (OGs) distributed across 379 taxonomic levels were computed together with their associated sequence alignments, phylogenies, HMM models and functional descriptors. Precomputed evolutionary analysis provides fine-grained resolution of duplication/speciation events within each OG. Our benchmarks show that, despite doubling the amount of genomes, the quality of orthology assignments and functional annotations (80% coverage) has persisted without significant changes across this update. Finally, we improved eggNOG online services for fast functional annotation and orthology prediction of custom genomics or metagenomics datasets. All precomputed data are publicly available for downloading or via API queries at http://eggnog.embl.de Oxford University Press 2019-01-08 2018-11-12 /pmc/articles/PMC6324079/ /pubmed/30418610 http://dx.doi.org/10.1093/nar/gky1085 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 Huerta-Cepas, Jaime Szklarczyk, Damian Heller, Davide Hernández-Plaza, Ana Forslund, Sofia K Cook, Helen Mende, Daniel R Letunic, Ivica Rattei, Thomas Jensen, Lars J von Mering, Christian Bork, Peer eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses |
title | eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses |
title_full | eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses |
title_fullStr | eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses |
title_full_unstemmed | eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses |
title_short | eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses |
title_sort | eggnog 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324079/ https://www.ncbi.nlm.nih.gov/pubmed/30418610 http://dx.doi.org/10.1093/nar/gky1085 |
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