ExTraMapper
ExTraMapper maps exon- and transcript-level orthologs between pairs of orthologous genes to enable fine-scale comparative analysis of exon conservation and transcript correspondence.
Key Features:
- Exon-Level Mapping: Identifies over 350,000 exon mappings between human and mouse genomes using sequence conservation together with gene annotation and sequence data.
- Transcript-Level Mapping: Identifies more than 30,000 transcript mappings between human and mouse, enabling transcript-scale orthology assessment.
- Detection of Splice Variants: Detects exon fusions, splits, and losses resulting from splice site mutations and maps microexons that were previously overlooked.
- Expression Correlation: Reanalysis of RNA-seq data from 13 matched human and mouse tissues yields improved correlation of transcript-specific expression levels between species.
- Cross-Species Applicability: Detects conserved exon and transcript pairs between other organism pairs such as human and rhesus macaque.
Scientific Applications:
- Alternative Splicing Analysis: Enables investigation of exon fusions, splits, microexons, and the impacts of splice site mutations on exon conservation.
- Gene Expression Conservation: Supports cross-species comparison of transcript-specific expression using RNA-seq data.
- Evolutionary Dynamics: Facilitates study of exon and transcript conservation and divergence across species pairs including human, mouse, and rhesus macaque.
- Comparative Genomics and Functional Annotation: Aids functional annotation of conserved and non-coding regions and the exploration of conserved genetic mechanisms.
Methodology:
Leverages sequence conservation between exons and uses gene annotation information alongside sequence data to establish exon- and transcript-level orthology, and reanalyzes RNA-seq from 13 matched human and mouse tissues to assess transcript-specific expression correlation.
Topics
Details
- License:
- MIT
- Tool Type:
- web application
- Programming Languages:
- Python, Perl, Shell
- Added:
- 9/8/2021
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Gene expression profiling
Outputs
Publications
Chakraborty A, Ay F, Davuluri RV. ExTraMapper: exon- and transcript-level mappings for orthologous gene pairs. Bioinformatics. 2021;37(20):3412-3420. doi:10.1093/bioinformatics/btab393. PMID:34014317. PMCID:PMC8545320.
Links
Repository
https://github.com/ay-lab/ExTraMapperIssue tracker
https://github.com/ay-lab/ExTraMapper/issues