BacPipe

BacPipe performs standardized analysis of bacterial whole-genome sequencing (WGS) data to support clinical diagnostic bacteriology, outbreak detection, and large-scale microbial surveillance.


Key Features:

  • Support for input types: Direct analysis of bacterial WGS data from raw reads or contig files.
  • Sequencing technologies: Compatible with second- and third-generation sequencing technologies, including Illumina paired-end reads.
  • Standardization: Provides a pipeline approach that streamlines and standardizes bacterial WGS analyses for diagnostic and surveillance use.
  • Scalability and throughput: Demonstrated ability to process large datasets, exemplified by processing 4,139 Illumina paired-end sequence files (genome sizes 2.9–5.4 Mb) from the European Nucleotide Archive.

Scientific Applications:

  • Clinical diagnostic bacteriology: Enables standardized analysis of bacterial genomes for clinical diagnostic contexts.
  • Outbreak detection: Supports genomic analyses used in detecting and investigating bacterial outbreaks.
  • Public health surveillance and comparative genomics: Applicable to large-scale monitoring and comparative microbial genomics, including use in projects such as EBI-SELECTA under H2020-COMPARE.

Methodology:

Automated computational pipeline that processes raw reads or contigs derived from second- or third-generation sequencing (including Illumina paired-end) to produce standardized bacterial WGS analyses.

Topics

Details

License:
GPL-3.0
Tool Type:
desktop application, workflow
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python, Perl
Added:
1/18/2021
Last Updated:
1/29/2021

Operations

Publications

Xavier BB, Mysara M, Bolzan M, Ribeiro-Gonçalves B, Alako BT, Harrison P, Lammens C, Kumar-Singh S, Goossens H, Carriço JA, Cochrane G, Malhotra-Kumar S. BacPipe: A Rapid, User-Friendly Whole-Genome Sequencing Pipeline for Clinical Diagnostic Bacteriology. iScience. 2020;23(1):100769. doi:10.1016/j.isci.2019.100769. PMID:31887656. PMCID:PMC6941874.

PMID: 31887656
PMCID: PMC6941874
Funding: - Türkiye Bilimsel ve Teknolojik Araştirma Kurumu: LISBOA-01-0145-Feder-016417 - Horizon 2020: 643476 - Innovative Medicines Initiative: 115523

Documentation

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