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MolluscDB: a genome and transcriptome database for molluscs
As sequencing becomes more accessible and affordable, the analysis of genomic and transcriptomic data has become a cornerstone of many research initiatives. Communities with a focus on particular taxa or ecosystems need solutions capable of aggregating genomic resources and serving them in a standar...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059625/ https://www.ncbi.nlm.nih.gov/pubmed/33813885 http://dx.doi.org/10.1098/rstb.2020.0157 |
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author | Caurcel, Carlos Laetsch, Dominik R. Challis, Richard Kumar, Sujai Gharbi, Karim Blaxter, Mark |
author_facet | Caurcel, Carlos Laetsch, Dominik R. Challis, Richard Kumar, Sujai Gharbi, Karim Blaxter, Mark |
author_sort | Caurcel, Carlos |
collection | PubMed |
description | As sequencing becomes more accessible and affordable, the analysis of genomic and transcriptomic data has become a cornerstone of many research initiatives. Communities with a focus on particular taxa or ecosystems need solutions capable of aggregating genomic resources and serving them in a standardized and analysis-friendly manner. Taxon-focussed resources can be more flexible in addressing the needs of a research community than can universal or general databases. Here, we present MolluscDB, a genome and transcriptome database for molluscs. MolluscDB offers a rich ecosystem of tools, including an Ensembl browser, a BLAST server for homology searches and an HTTP server from which any dataset present in the database can be downloaded. To demonstrate the utility of the database and verify the quality of its data, we imported data from assembled genomes and transcriptomes of 22 species, estimated the phylogeny of Mollusca using single-copy orthologues, explored patterns of gene family size change and interrogated the data for biomineralization-associated enzymes and shell matrix proteins. MolluscDB provides an easy-to-use and openly accessible data resource for the research community. This article is part of the Theo Murphy meeting issue ‘Molluscan genomics: broad insights and future directions for a neglected phylum’. |
format | Online Article Text |
id | pubmed-8059625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-80596252021-05-14 MolluscDB: a genome and transcriptome database for molluscs Caurcel, Carlos Laetsch, Dominik R. Challis, Richard Kumar, Sujai Gharbi, Karim Blaxter, Mark Philos Trans R Soc Lond B Biol Sci Articles As sequencing becomes more accessible and affordable, the analysis of genomic and transcriptomic data has become a cornerstone of many research initiatives. Communities with a focus on particular taxa or ecosystems need solutions capable of aggregating genomic resources and serving them in a standardized and analysis-friendly manner. Taxon-focussed resources can be more flexible in addressing the needs of a research community than can universal or general databases. Here, we present MolluscDB, a genome and transcriptome database for molluscs. MolluscDB offers a rich ecosystem of tools, including an Ensembl browser, a BLAST server for homology searches and an HTTP server from which any dataset present in the database can be downloaded. To demonstrate the utility of the database and verify the quality of its data, we imported data from assembled genomes and transcriptomes of 22 species, estimated the phylogeny of Mollusca using single-copy orthologues, explored patterns of gene family size change and interrogated the data for biomineralization-associated enzymes and shell matrix proteins. MolluscDB provides an easy-to-use and openly accessible data resource for the research community. This article is part of the Theo Murphy meeting issue ‘Molluscan genomics: broad insights and future directions for a neglected phylum’. The Royal Society 2021-05-24 2021-04-05 /pmc/articles/PMC8059625/ /pubmed/33813885 http://dx.doi.org/10.1098/rstb.2020.0157 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Caurcel, Carlos Laetsch, Dominik R. Challis, Richard Kumar, Sujai Gharbi, Karim Blaxter, Mark MolluscDB: a genome and transcriptome database for molluscs |
title | MolluscDB: a genome and transcriptome database for molluscs |
title_full | MolluscDB: a genome and transcriptome database for molluscs |
title_fullStr | MolluscDB: a genome and transcriptome database for molluscs |
title_full_unstemmed | MolluscDB: a genome and transcriptome database for molluscs |
title_short | MolluscDB: a genome and transcriptome database for molluscs |
title_sort | molluscdb: a genome and transcriptome database for molluscs |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059625/ https://www.ncbi.nlm.nih.gov/pubmed/33813885 http://dx.doi.org/10.1098/rstb.2020.0157 |
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