PaliDIS4
PaliDIS4 identifies and catalogs insertion sequences (IS) in paired-end, short-read metagenomic datasets by detecting inverted terminal repeats (ITRs) to characterize IS diversity and potential horizontal transfer in microbial communities.
Key Features:
- Inverted Terminal Repeat (ITR) Identification: PaliDIS4 uses paired-end, short-read metagenomic data to detect inverted terminal repeats, the hallmark features of insertion sequences, enabling IS identification within complex microbial genomes.
- Novel Sequence Discovery: In an analysis of 264 human metagenomes, PaliDIS4 identified 879 unique insertion sequences, of which 519 were previously unreported.
- Horizontal Gene Transfer Insights: PaliDIS4 queries detected IS against extensive databases of isolate genomes to reveal potential horizontal gene transfer events across bacterial classes.
- Sequence Cataloging: PaliDIS4 compiles identified IS elements into a catalogue, contributing entries to the Insertion Sequence Catalogue including novel sequences.
Scientific Applications:
- Microbial Genomics Research: Expanding representation of insertion sequences in microbial databases to support comparative and functional genomic analyses.
- Horizontal Gene Transfer Studies: Tracing IS distribution across isolates and bacterial classes to study genetic exchange and dissemination of mobile elements.
- Metagenomic Analysis: Detecting and cataloging IS to inform compositional and functional analyses of microbial communities.
Methodology:
Uses paired-end, short-read metagenomic data as input; identifies inverted terminal repeats (ITRs) characteristic of insertion sequences; compiles a catalogue of identified IS elements, including novel sequences.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Python, R
- Added:
- 11/7/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Carr VR, Pissis SP, Mullany P, Shoaie S, Gomez-Cabrero D, Moyes DL. Palidis: fast discovery of novel insertion sequences. Microbial Genomics. 2023;9(3). doi:10.1099/mgen.0.000917. PMID:36897935. PMCID:PMC10132078.