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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Nucleic acids research
2025
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/39530242/ |
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Table of Contents:
- MolluscDB 2.0: a comprehensive functional and evolutionary genomics database for over 1400 molluscan species. Liu, Fuyun Cai, Bingcheng Lian, Shanshan Chang, Xinyao Chen, Dongsheng Pu, Zhongqi Bao, Lisui Wang, Jing Lv, Jia Zheng, Hongkun Bao, Zhenmin Zhang, Lingling Wang, Shi Li, Yuli Animals Mollusca Genomics Databases, Genetic Transcriptome Evolution, Molecular Genome Proteome Software Molecular Sequence Annotation 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.