PBGI

PBGI automates identification of bacterial genomes from short-read and long-read sequencing data generated by Illumina, PacBio, and Oxford Nanopore to support microbial genome identification and downstream genomic analyses.


Key Features:

  • Automated Analysis: Automates processing of sequencing reads to identify bacterial genomes.
  • Customization: Permits tailored analysis parameters and workflows to suit specific datasets.
  • Platform Compatibility: Supports short-reads and long-reads from Illumina, PacBio, and Oxford Nanopore.
  • Accuracy: Evaluation on practical datasets demonstrates accurate bacterial identification for both short-read and long-read analyses.

Scientific Applications:

  • Microbiology Research: Enables precise bacterial genome identification in microbiology studies.
  • Clinical Diagnostics: Applicable to clinical diagnostics that require accurate bacterial identification from sequencing data.
  • Environmental Microbiome Studies: Supports identification of bacterial genomes within environmental microbiome sequencing datasets.

Methodology:

An automated pipeline that processes sequencing reads to identify bacterial genomes and integrates various computational techniques to analyze genomic data.

Topics

Details

Maturity:
Emerging
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
11/29/2021
Last Updated:
11/29/2021

Operations

Publications

Liu J, Sun J, Liu Y. Effective Identification of Bacterial Genomes From Short and Long Read Sequencing Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2022;19(5):2806-2816. doi:10.1109/tcbb.2021.3095164. PMID:34232887.

PMID: 34232887
Funding: - National Key R&D Program of China: 2018YFC1603800, 2018YFC1603802, 2020YFA0908700, 2020YFA0908702 - National Natural Science Foundation of China: 61872115

Downloads