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MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca
Mollusca represents the second largest animal phylum but remains poorly explored from a genomic perspective. While the recent increase in genomic resources holds great promise for a deep understanding of molluscan biology and evolution, access and utilization of these resources still pose a challeng...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779068/ https://www.ncbi.nlm.nih.gov/pubmed/33219670 http://dx.doi.org/10.1093/nar/gkaa918 |
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author | Liu, Fuyun Li, Yuli Yu, Hongwei Zhang, Lingling Hu, Jingjie Bao, Zhenmin Wang, Shi |
author_facet | Liu, Fuyun Li, Yuli Yu, Hongwei Zhang, Lingling Hu, Jingjie Bao, Zhenmin Wang, Shi |
author_sort | Liu, Fuyun |
collection | PubMed |
description | Mollusca represents the second largest animal phylum but remains poorly explored from a genomic perspective. While the recent increase in genomic resources holds great promise for a deep understanding of molluscan biology and evolution, access and utilization of these resources still pose a challenge. Here, we present the first comprehensive molluscan genomics database, MolluscDB (http://mgbase.qnlm.ac), which compiles and integrates current molluscan genomic/transcriptomic resources and provides convenient tools for multi-level integrative and comparative genomic analyses. MolluscDB enables a systematic view of genomic information from various aspects, such as genome assembly statistics, genome phylogenies, fossil records, gene information, expression profiles, gene families, transcription factors, transposable elements and mitogenome organization information. Moreover, MolluscDB offers valuable customized datasets or resources, such as gene coexpression networks across various developmental stages and adult tissues/organs, core gene repertoires inferred for major molluscan lineages, and macrosynteny analysis for chromosomal evolution. MolluscDB presents an integrative and comprehensive genomics platform that will allow the molluscan community to cope with ever-growing genomic resources and will expedite new scientific discoveries for understanding molluscan biology and evolution. |
format | Online Article Text |
id | pubmed-7779068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77790682021-01-07 MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca Liu, Fuyun Li, Yuli Yu, Hongwei Zhang, Lingling Hu, Jingjie Bao, Zhenmin Wang, Shi Nucleic Acids Res Database Issue Mollusca represents the second largest animal phylum but remains poorly explored from a genomic perspective. While the recent increase in genomic resources holds great promise for a deep understanding of molluscan biology and evolution, access and utilization of these resources still pose a challenge. Here, we present the first comprehensive molluscan genomics database, MolluscDB (http://mgbase.qnlm.ac), which compiles and integrates current molluscan genomic/transcriptomic resources and provides convenient tools for multi-level integrative and comparative genomic analyses. MolluscDB enables a systematic view of genomic information from various aspects, such as genome assembly statistics, genome phylogenies, fossil records, gene information, expression profiles, gene families, transcription factors, transposable elements and mitogenome organization information. Moreover, MolluscDB offers valuable customized datasets or resources, such as gene coexpression networks across various developmental stages and adult tissues/organs, core gene repertoires inferred for major molluscan lineages, and macrosynteny analysis for chromosomal evolution. MolluscDB presents an integrative and comprehensive genomics platform that will allow the molluscan community to cope with ever-growing genomic resources and will expedite new scientific discoveries for understanding molluscan biology and evolution. Oxford University Press 2020-10-22 /pmc/articles/PMC7779068/ /pubmed/33219670 http://dx.doi.org/10.1093/nar/gkaa918 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Liu, Fuyun Li, Yuli Yu, Hongwei Zhang, Lingling Hu, Jingjie Bao, Zhenmin Wang, Shi MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca |
title | MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca |
title_full | MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca |
title_fullStr | MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca |
title_full_unstemmed | MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca |
title_short | MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca |
title_sort | molluscdb: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum mollusca |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779068/ https://www.ncbi.nlm.nih.gov/pubmed/33219670 http://dx.doi.org/10.1093/nar/gkaa918 |
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