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.
Downloads
- Container filehttps://hub.docker.com/r/janka2012/digis