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RabGTD: a comprehensive database of rabbit genome and transcriptome
Lu Zhou1,2, Qingyu Xiao1,2, Jie Bi1,2
1Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Rd., Xuhui District, Shanghai 200031, China.
Summary
A new rabbit database, RabGTD, offers comprehensive genome and transcriptome data for research. This resource aids studies in animal breeding and human diseases by providing valuable genomic variation and gene expression profiles.
Area of Science:
- Genomics
- Bioinformatics
- Animal Science
Background:
- Rabbits are crucial models in biomedical research for antibody production and disease studies.
- They are also significant in agriculture for animal breeding.
- Existing resources lack comprehensive genomic and transcriptomic data for rabbits.
Purpose of the Study:
- To develop the first integrated database of rabbit genome and transcriptome data.
- To provide a valuable resource for researchers in biomedical and agricultural fields.
- To facilitate the exploration of rabbit genetic diversity and gene expression.
Main Methods:
- Next-generation sequencing was employed for data generation.
- Genomic variations were identified and annotated across 79 diverse rabbit samples (wild and domestic).
- Gene expression profiles were compiled from 86 tissue samples, including disease models.
Main Results:
- The RabGTD database integrates genome and transcriptome data from a large cohort of rabbit samples.
- Identified genomic variations encompass diverse wild and domestic rabbit populations.
- Compiled gene expression data includes models for hyperlipidemia and atherosclerosis.
Conclusions:
- RabGTD is a comprehensive, web-based, open-access resource for rabbit big data.
- The database offers user-friendly interfaces for data exploration, searching, browsing, and downloading.
- RabGTD will significantly advance rabbit-based research in various scientific domains.
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