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.

Documentation