MeDAS
MeDAS provides comprehensive quantitative data on developmental alternative splicing by re-analyzing Illumina polyA+ RNA-seq time-course libraries across metazoans to support comparative and developmental splicing analyses.
Key Features:
- Extensive data repository: Re-analysis of a curated collection of 2,232 Illumina polyA+ RNA-seq libraries to produce quantitative measurements of alternative splicing events.
- Broad taxonomic and temporal scope: Time-course data covering embryonic and post-natal development in 18 species, from Caenorhabditis elegans to humans, representing major metazoan lineages.
- Multilevel splicing visualization: Visualization of alternative splicing at gene, transcript, and exon levels with time-course expression profiles and splicing inclusion levels.
Scientific Applications:
- Temporal regulation of splicing: Investigating how alternative splicing patterns change across developmental time courses.
- Isoform function in development: Identifying trends and potential functional roles of transcript isoforms during embryonic and post-natal development.
- Comparative and evolutionary analyses: Assessing conserved and divergent splicing mechanisms across metazoan species.
Methodology:
Re-analysis of a curated collection of 2,232 Illumina polyA+ RNA-seq libraries to quantify alternative splicing events and inclusion levels across developmental time courses in 18 metazoan species.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- Shell, R, Python
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Li Z, Zhang Y, Bush SJ, Tang C, Chen L, Zhang D, Urrutia AO, Lin J, Chen L. MeDAS: a Metazoan Developmental Alternative Splicing database. Nucleic Acids Research. 2020;49(D1):D144-D150. doi:10.1093/nar/gkaa886. PMID:33084905. PMCID:PMC7779033.
DOI: 10.1093/nar/gkaa886
PMID: 33084905
PMCID: PMC7779033
Funding: - National Key Research and Development Program of China: 2017YFA0106500, 2017YFA0106800
- National Science Fund: 81722004
- PAPPIT-DGAPA-UNAM: IN200920
- NERC: NE/P004121/1
- Royal Society: DH071902, RG080272, RG0870644
Links
Repository
https://github.com/LuChenLab/MeDAS