PaPrBaG specifications

Information


Unique identifier OMICS_25668
Name PaPrBaG
Alternative name Pathogenicity Prediction for Bacterial Genomes
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

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Versioning


No version available

Documentation


Maintainer


  • person_outline Bernhard Renard

Publication for Pathogenicity Prediction for Bacterial Genomes

PaPrBaG citation

library_books

Current Bioinformatics resources in combating infectious diseases

2018
Bioinformation
PMCID: 5818640
PMID: 29497257
DOI: 10.6026/97320630014031

[…] y. The approach of the program is not biased with known pathogenicity. Therefore the program could be used to discovery novel pathogenicity factors.A recent method for predicting pathogenicity is the PaPrBaG (Pathogenicity Prediction for Bacterial Genomes) (https://github.com/crarlus/paprbag) based on machine learning and provided as R package []. PaPrBaG predicts pathogenicity by means of trainin […]

PaPrBaG institution(s)
Research Group Bioinformatics (NG4), Robert Koch Institute, Berlin, Germany
PaPrBaG funding source(s)
Supported by the German Federal Ministry of Health (IIA5-2512-FSB-725).

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