ExplorePipolin

ExplorePipolin identifies, reconstructs, and annotates pipolins in draft, contig-based bacterial genomes to enable analysis of mobile genetic elements and their role in antimicrobial resistance.


Key Features:

  • Implementation: Python-based bioinformatics pipeline for automated processing of bacterial genome assemblies.
  • Screening and Reconstruction: Screens draft, contig-based bacterial genomes to identify pipolins and reconstructs their structure by piecing together contigs when necessary.
  • Annotation Capabilities: Annotates pipolin boundaries and encoded genes using a custom database tailored for pipolin elements.
  • Pipolin Characterization: Focuses on MGEs characterized by integrative and plasmidic nature and the presence of a primer-independent DNA polymerase.
  • Output Formats: Produces standard file formats suitable for downstream comparative genomics analyses.

Scientific Applications:

  • Pipolin detection and structural analysis: Identification and reconstruction of pipolin architectures from fragmented draft genomes.
  • Comparative genomics of MGEs: Generation of annotated datasets for comparative analyses of mobile genetic elements across bacterial isolates.
  • Antimicrobial resistance research: Investigation of the contribution of pipolins to the spread and evolution of antimicrobial resistance genes.

Methodology:

Implemented in Python; screens contig-based draft bacterial genomes, reconstructs pipolins by piecing together contigs, annotates boundaries and genes using a custom pipolin database, and exports results in standard comparative-genomics file formats.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
2/26/2023
Last Updated:
11/24/2024

Operations

Publications

Chuprikova L, Mateo-Cáceres V, de Toro M, Redrejo-Rodríguez M. ExplorePipolin: reconstruction and annotation of piPolB-encoding bacterial mobile elements from draft genomes. Bioinformatics Advances. 2022;2(1). doi:10.1093/bioadv/vbac056. PMID:36699382. PMCID:PMC9710591.