digIS

digIS detects distant and putative novel insertion sequence (IS) elements in prokaryotic genomes to enable discovery of mobile genetic elements involved in genome organization and evolution.


Key Features:

  • Detection Capability: Detects both known IS elements and distant or putative novel IS elements beyond those identifiable by sequence similarity to existing IS family databases.
  • Profile HMMs from Transposases: Employs profile hidden Markov models (HMMs) constructed from the catalytic domains of transposases to identify divergent IS elements.
  • Benchmarking Performance: Demonstrates improved detection of distant and putative novel IS elements in comparative analyses with datasets that have manually curated annotations while maintaining moderate false positive rates.
  • Input Formats and Annotation: Accepts contig sequences in FASTA format and can use an optional GenBank annotation file to assist classification of identified IS elements.
  • Taxonomic Scope: Applicable to archaeal and bacterial genomes for large-scale genomic and metagenomic studies.

Scientific Applications:

  • Genome Evolution Studies: Facilitates discovery of novel IS elements to study evolutionary dynamics and functional roles of mobile genetic elements within host genomes.
  • Metagenomic Analysis: Enables detection of distant IS elements in metagenomic datasets where novel sequences are prevalent and traditional similarity-based methods are limited.

Methodology:

Uses profile hidden Markov models (HMMs) constructed from the catalytic domains of transposases; comparative analyses with datasets having manually curated annotations were used to evaluate detection performance and false positive rates.

Topics

Details

License:
MIT
Tool Type:
command-line tool, workflow
Programming Languages:
Python
Added:
9/8/2021
Last Updated:
9/13/2021

Operations

Publications

Puterová J, Martínek T. digIS: towards detecting distant and putative novel insertion sequence elements in prokaryotic genomes. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-04177-6. PMID:34016050. PMCID:PMC8147514.

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