The Ocean Gene Atlas v2.0: online exploration of the biogeography and phylogeny of plankton genes.
Testing hypothesis about the biogeography of genes using large data resources such as Tara Oceans marine metagenomes and metatranscriptomes requires significant hardware resources and programming skills. The new release of the 'Ocean Gene Atlas' (OGA2) is a freely available intuitive onlin...
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Online Access: | https://doi.org/10.1093/nar/gkac420 https://pubmed.ncbi.nlm.nih.gov/35687095 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252727/ |
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ftpubmed:35687095 2024-09-30T14:31:25+00:00 The Ocean Gene Atlas v2.0: online exploration of the biogeography and phylogeny of plankton genes. Vernette, Caroline Lecubin, Julien Sánchez, Pablo Sunagawa, Shinichi Delmont, Tom O Acinas, Silvia G Pelletier, Eric Hingamp, Pascal Lescot, Magali 2022-07-05 https://doi.org/10.1093/nar/gkac420 https://pubmed.ncbi.nlm.nih.gov/35687095 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252727/ eng eng Silverchair Information Systems https://doi.org/10.1093/nar/gkac420 https://pubmed.ncbi.nlm.nih.gov/35687095 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252727/ © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. Nucleic Acids Res ISSN:1362-4962 Volume:50 Issue:W1 Journal Article Research Support, Non-U.S. Gov't 2022 ftpubmed https://doi.org/10.1093/nar/gkac420 2024-08-31T16:02:00Z Testing hypothesis about the biogeography of genes using large data resources such as Tara Oceans marine metagenomes and metatranscriptomes requires significant hardware resources and programming skills. The new release of the 'Ocean Gene Atlas' (OGA2) is a freely available intuitive online service to mine large and complex marine environmental genomic databases. OGA2 datasets available have been extended and now include, from the Tara Oceans portfolio: (i) eukaryotic Metagenome-Assembled-Genomes (MAGs) and Single-cell Assembled Genomes (SAGs) (10.2E+6 coding genes), (ii) version 2 of Ocean Microbial Reference Gene Catalogue (46.8E+6 non-redundant genes), (iii) 924 MetaGenomic Transcriptomes (7E+6 unigenes), (iv) 530 MAGs from an Arctic MAG catalogue (1E+6 genes) and (v) 1888 Bacterial and Archaeal Genomes (4.5E+6 genes), and an additional dataset from the Malaspina 2010 global circumnavigation: (vi) 317 Malaspina Deep Metagenome Assembled Genomes (0.9E+6 genes). Novel analyses enabled by OGA2 include phylogenetic tree inference to visualize user queries within their context of sequence homologues from both the marine environmental dataset and the RefSeq database. An Application Programming Interface (API) now allows users to query OGA2 using command-line tools, hence providing local workflow integration. Finally, gene abundance can be interactively filtered directly on map displays using any of the available environmental variables. Ocean Gene Atlas v2.0 is freely-available at: https://tara-oceans.mio.osupytheas.fr/ocean-gene-atlas/. Article in Journal/Newspaper Arctic PubMed Central (PMC) Arctic Nucleic Acids Research 50 W1 W516 W526 |
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English |
description |
Testing hypothesis about the biogeography of genes using large data resources such as Tara Oceans marine metagenomes and metatranscriptomes requires significant hardware resources and programming skills. The new release of the 'Ocean Gene Atlas' (OGA2) is a freely available intuitive online service to mine large and complex marine environmental genomic databases. OGA2 datasets available have been extended and now include, from the Tara Oceans portfolio: (i) eukaryotic Metagenome-Assembled-Genomes (MAGs) and Single-cell Assembled Genomes (SAGs) (10.2E+6 coding genes), (ii) version 2 of Ocean Microbial Reference Gene Catalogue (46.8E+6 non-redundant genes), (iii) 924 MetaGenomic Transcriptomes (7E+6 unigenes), (iv) 530 MAGs from an Arctic MAG catalogue (1E+6 genes) and (v) 1888 Bacterial and Archaeal Genomes (4.5E+6 genes), and an additional dataset from the Malaspina 2010 global circumnavigation: (vi) 317 Malaspina Deep Metagenome Assembled Genomes (0.9E+6 genes). Novel analyses enabled by OGA2 include phylogenetic tree inference to visualize user queries within their context of sequence homologues from both the marine environmental dataset and the RefSeq database. An Application Programming Interface (API) now allows users to query OGA2 using command-line tools, hence providing local workflow integration. Finally, gene abundance can be interactively filtered directly on map displays using any of the available environmental variables. Ocean Gene Atlas v2.0 is freely-available at: https://tara-oceans.mio.osupytheas.fr/ocean-gene-atlas/. |
format |
Article in Journal/Newspaper |
author |
Vernette, Caroline Lecubin, Julien Sánchez, Pablo Sunagawa, Shinichi Delmont, Tom O Acinas, Silvia G Pelletier, Eric Hingamp, Pascal Lescot, Magali |
spellingShingle |
Vernette, Caroline Lecubin, Julien Sánchez, Pablo Sunagawa, Shinichi Delmont, Tom O Acinas, Silvia G Pelletier, Eric Hingamp, Pascal Lescot, Magali The Ocean Gene Atlas v2.0: online exploration of the biogeography and phylogeny of plankton genes. |
author_facet |
Vernette, Caroline Lecubin, Julien Sánchez, Pablo Sunagawa, Shinichi Delmont, Tom O Acinas, Silvia G Pelletier, Eric Hingamp, Pascal Lescot, Magali |
author_sort |
Vernette, Caroline |
title |
The Ocean Gene Atlas v2.0: online exploration of the biogeography and phylogeny of plankton genes. |
title_short |
The Ocean Gene Atlas v2.0: online exploration of the biogeography and phylogeny of plankton genes. |
title_full |
The Ocean Gene Atlas v2.0: online exploration of the biogeography and phylogeny of plankton genes. |
title_fullStr |
The Ocean Gene Atlas v2.0: online exploration of the biogeography and phylogeny of plankton genes. |
title_full_unstemmed |
The Ocean Gene Atlas v2.0: online exploration of the biogeography and phylogeny of plankton genes. |
title_sort |
ocean gene atlas v2.0: online exploration of the biogeography and phylogeny of plankton genes. |
publisher |
Silverchair Information Systems |
publishDate |
2022 |
url |
https://doi.org/10.1093/nar/gkac420 https://pubmed.ncbi.nlm.nih.gov/35687095 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252727/ |
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Arctic |
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Arctic |
genre |
Arctic |
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Arctic |
op_source |
Nucleic Acids Res ISSN:1362-4962 Volume:50 Issue:W1 |
op_relation |
https://doi.org/10.1093/nar/gkac420 https://pubmed.ncbi.nlm.nih.gov/35687095 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252727/ |
op_rights |
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. |
op_doi |
https://doi.org/10.1093/nar/gkac420 |
container_title |
Nucleic Acids Research |
container_volume |
50 |
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W1 |
container_start_page |
W516 |
op_container_end_page |
W526 |
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1811635983975710720 |