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.

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