Exalign
Exalign analyzes exon–intron structures in gene annotations to compare gene structural organization alongside sequence comparisons and support evolutionary inference.
Key Features:
- Exon–Intron Structure Retrieval and Comparison: Retrieves and compares exon–intron structures from gene annotations to characterize structural differences among genes.
- Integration with Sequence Comparisons: Combines exon–intron structural analysis with traditional genomic, transcript, and protein sequence comparisons.
- Structure-based Phylogenetic Inference: Uses exon–intron structural data to aid phylogenetic reconstruction and clarify relationships among homologous gene families.
- Intron Gain and Loss Detection: Detects intron loss events in human and rodent genomes and identifies novel intron gain events in human and mouse genes.
- Structure Search and Comparison Algorithm: Implements algorithmic comparison and search of exon–intron structures within annotations to uncover evolutionary patterns.
Scientific Applications:
- Phylogenetic Analyses: Improves phylogenetic resolution by incorporating exon–intron structure as additional characters.
- Evolutionary History Reconstruction: Supports reconstruction of evolutionary histories of homologous gene families through structural comparisons.
- Intron Gain/Loss Studies: Facilitates detection and characterization of intron gain and loss patterns across human, mouse, and rodent lineages.
Methodology:
A dedicated algorithm extracts exon–intron structures from gene annotations and performs comparison and search of these structures to detect intron gain and loss and inform phylogenetic inference.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Tool Type:
- command-line tool, web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++
- Added:
- 1/22/2015
- Last Updated:
- 11/25/2024
Operations
Publications
Pavesi G, Zambelli F, Caggese C, Pesole G. Exalign: a new method for comparative analysis of exon–intron gene structures. Nucleic Acids Research. 2008;36(8):e47-e47. doi:10.1093/nar/gkn153. PMID:18397951. PMCID:PMC2377436.