ISEScan

ISEScan identifies and annotates insertion sequence (IS) elements in prokaryotic genomes to support analysis of genome organization and evolution.


Key Features:

  • High sensitivity: Uses profile hidden Markov models (HMMs) constructed from manually curated IS elements to detect IS elements across diverse prokaryotic genomes.
  • Comprehensive annotation: Provides an autonomous annotation pipeline that does not depend on pre-existing genome annotations.
  • Evaluated performance: Demonstrated superior performance in identifying IS elements when benchmarked against other IS annotation tools using genomes with curated IS annotations.
  • Implementation: Implemented in Python.

Scientific Applications:

  • Genome organization studies: Produces detailed IS annotations to inform analyses of structural dynamics and evolutionary trajectories in prokaryotic genomes.
  • Taxonomic distribution analysis: Enables analysis of the distribution of IS families across taxonomic clades within Archaea and Bacteria, including application to a dataset of 2784 prokaryotic genomes.
  • Evolutionary biology research: Supports studies of horizontal gene transfer, genome plasticity, and evolutionary pressures in prokaryotic species.

Methodology:

Detects and annotates IS elements using profile hidden Markov models (HMMs) built from a database of manually curated IS elements.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
Python
Added:
6/14/2018
Last Updated:
11/25/2024

Operations

Publications

Xie Z, Tang H. ISEScan: automated identification of insertion sequence elements in prokaryotic genomes. Bioinformatics. 2017;33(21):3340-3347. doi:10.1093/bioinformatics/btx433. PMID:29077810.

PMID: 29077810
Funding: - National Science Foundation: DBI-1262588

Documentation