MolluscDB 2.0: a comprehensive functional and evolutionary genomics database for over 1400 molluscan species

IF 16.6 2区生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Nucleic Acids Research Pub Date : 2024-11-12 DOI:10.1093/nar/gkae1026

Funyun Liu, Bingcheng Cai, Shanshan Lian, Xinyao Chang, Dongsheng Chen, Zhongqi Pu, Lisui Bao, Jing Wang, Jia Lv, Hongkun Zheng, Zhenmin Bao, Lingling Zhang, Shi Wang, Yuli Li

{"title":"MolluscDB 2.0: a comprehensive functional and evolutionary genomics database for over 1400 molluscan species","authors":"Funyun Liu, Bingcheng Cai, Shanshan Lian, Xinyao Chang, Dongsheng Chen, Zhongqi Pu, Lisui Bao, Jing Wang, Jia Lv, Hongkun Zheng, Zhenmin Bao, Lingling Zhang, Shi Wang, Yuli Li","doi":"10.1093/nar/gkae1026","DOIUrl":null,"url":null,"abstract":"Mollusca represents the second-largest animal phylum but remains less explored genomically. The increase in high-quality genomes and diverse functional genomic data holds great promise for advancing our understanding of molluscan biology and evolution. To address the opportunities and challenges facing the molluscan research community in managing vast multi-omics resources, we developed MolluscDB 2.0 (http://mgbase.qnlm.ac), which integrates extensive functional genomic data and offers user-friendly tools for multilevel integrative and comparative analyses. MolluscDB 2.0 covers 1450 species across all eight molluscan classes and compiles ∼4200 datasets, making it the most comprehensive multi-omics resource for molluscs to date. MolluscDB 2.0 expands the layers of multi-omics data, including genomes, bulk transcriptomes, single-cell transcriptomes, proteomes, epigenomes and metagenomes. MolluscDB 2.0 also more than doubles the number of functional modules and analytical tools, updating 14 original modules and introducing 20 new, specialized modules. Overall, MolluscDB 2.0 provides highly valuable, open-access multi-omics platform for the molluscan research community, expediting scientific discoveries and deepening our understanding of molluscan biology and evolution.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"18 1","pages":""},"PeriodicalIF":16.6000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nucleic Acids Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/nar/gkae1026","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Mollusca represents the second-largest animal phylum but remains less explored genomically. The increase in high-quality genomes and diverse functional genomic data holds great promise for advancing our understanding of molluscan biology and evolution. To address the opportunities and challenges facing the molluscan research community in managing vast multi-omics resources, we developed MolluscDB 2.0 (http://mgbase.qnlm.ac), which integrates extensive functional genomic data and offers user-friendly tools for multilevel integrative and comparative analyses. MolluscDB 2.0 covers 1450 species across all eight molluscan classes and compiles ∼4200 datasets, making it the most comprehensive multi-omics resource for molluscs to date. MolluscDB 2.0 expands the layers of multi-omics data, including genomes, bulk transcriptomes, single-cell transcriptomes, proteomes, epigenomes and metagenomes. MolluscDB 2.0 also more than doubles the number of functional modules and analytical tools, updating 14 original modules and introducing 20 new, specialized modules. Overall, MolluscDB 2.0 provides highly valuable, open-access multi-omics platform for the molluscan research community, expediting scientific discoveries and deepening our understanding of molluscan biology and evolution.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

MolluscDB 2.0：涵盖 1400 多个软体动物物种的功能和进化基因组学综合数据库

软体动物门是第二大动物门，但在基因组方面的探索仍然较少。高质量基因组和各种功能基因组数据的增加为我们增进对软体动物生物学和进化的了解带来了巨大希望。为了应对软体动物研究界在管理庞大的多组学资源方面所面临的机遇和挑战，我们开发了 MolluscDB 2.0 (http://mgbase.qnlm.ac)，它整合了大量的功能基因组数据，并为多层次整合和比较分析提供了用户友好型工具。MolluscDB 2.0涵盖软体动物所有八大类1450个物种，汇编了4200个数据集，是迄今为止最全面的软体动物多组学资源。MolluscDB 2.0 扩展了多组学数据的层次，包括基因组、大体转录组、单细胞转录组、蛋白质组、表观基因组和元基因组。MolluscDB 2.0 还将功能模块和分析工具的数量增加了一倍多，更新了 14 个原始模块，并引入了 20 个新的专用模块。总体而言，MolluscDB 2.0 为软体动物研究界提供了极具价值的开放式多组学平台，加快了科学发现的速度，加深了我们对软体动物生物学和进化的理解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Nucleic Acids Research 生物-生化与分子生物学

CiteScore

27.10

自引率

4.70%

发文量

1057

审稿时长

2 months

期刊介绍： Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.