ASmodeler
ASmodeler models gene structures and alternative splicing by aligning mRNA, EST, and protein sequences to genomic maps to generate comprehensive gene models for transcriptome analysis.
Key Features:
- Alternative Splicing Modeling: Identifies and models alternative splicing events to represent splice variants and transcriptome complexity.
- Sequence Alignment: Aligns mRNA, EST, and protein sequences to genomic maps using BLAT with refinement by SIM4 to improve exon connectivity accuracy.
- Genome-based Clustering and Transcript Assembly: Integrates genome-based sequence clustering with transcript assembly procedures to assemble transcript models.
- Graph-Theoretic Analysis: Applies graph-theoretical methods to analyze exon connectivity and construct all possible gene models including splice variants.
- Integration with Existing Databases: Incorporates UniGene clusters and gene predictions from Genscan, Ensembl, and AceView (formerly Acembly) alongside user-supplied sequences.
- Multi-Species Support: Supports human, mouse, and rat genomes for comparative analyses.
Scientific Applications:
- Transcriptome Analysis: Enables reconstruction and analysis of alternative splicing patterns to characterize transcriptome diversity.
- Functional Genomics: Predicts splice variants and isoforms that can be investigated for distinct biological roles.
- Comparative Genomics: Facilitates comparison of splicing mechanisms and conservation across human, mouse, and rat genomes.
Methodology:
Combines genome-based sequence clustering with transcript assembly; aligns sequences to the genome using BLAT followed by refinement with SIM4; analyzes exon connectivity with graph-theoretic methods to construct comprehensive gene models including all possible splice variants.
Topics
Details
- Tool Type:
- web application
- Added:
- 2/10/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Kim N, Shin S, Lee S. ASmodeler: gene modeling of alternative splicing from genomic alignment of mRNA, EST and protein sequences. Nucleic Acids Research. 2004;32(Web Server):W181-W186. doi:10.1093/nar/gkh404. PMID:15215376. PMCID:PMC441542.