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.