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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...

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Autores principales: Caurcel, Carlos, Laetsch, Dominik R., Challis, Richard, Kumar, Sujai, Gharbi, Karim, Blaxter, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
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’.
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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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