Animal-APAdb
Animal-APAdb catalogs alternative polyadenylation (APA) profiles across 18 non-human animal species using RNA sequencing data to support comparative and functional analyses of APA events.
Key Features:
- Extensive dataset: Contains APA profiles derived from 9,244 samples spanning 18 species, curated from RNA sequencing data in public databases.
- Algorithmic detection: Identifies APA events using DaPars2 (342,952 events total; median 17,020 per species) and QAPA (315,691 events total; median 17,953 per species).
- Polyadenylation site and motif prediction: Predicts polyadenylation sites (PAS) and motifs near these sites for each included species.
Scientific Applications:
- Exploration of APA patterns: Enables analysis of tissue- and species-specific APA events to investigate regulatory roles in mRNA stability, localization, and translation.
- Comparative genomics and evolutionary studies: Supports cross-species comparisons to study the evolution of APA mechanisms.
- Functional genomics research: Facilitates correlation of APA events with phenotypes or disease states in non-human models.
Methodology:
Characterization of APA profiles from RNA sequencing data from public databases using DaPars2 and QAPA, with prediction of polyadenylation sites (PAS) and nearby motifs for each species.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Jin W, Zhu Q, Yang Y, Yang W, Wang D, Yang J, Niu X, Yu D, Gong J. Animal-APAdb: a comprehensive animal alternative polyadenylation database. Nucleic Acids Research. 2020;49(D1):D47-D54. doi:10.1093/nar/gkaa778. PMID:32986825. PMCID:PMC7779049.
DOI: 10.1093/nar/gkaa778
PMID: 32986825
PMCID: PMC7779049
Funding: - National Natural Science Foundation of China: 31970644
- Huazhong Agricultural University Scientific & Technological Self-innovation Foundation: 11041810351
- Jiangsu Agricultural Science and Technology Independent Innovation Fund: CX (17) 3014
- Fundamental Research Funds for the Central Universities: 2662017JC048