Unknown

Dataset Information

Predicting the pathogenicity of bacterial genomes using widely spread protein families.


ABSTRACT:

Background

The human body is inhabited by a diverse community of commensal non-pathogenic bacteria, many of which are essential for our health. By contrast, pathogenic bacteria have the ability to invade their hosts and cause a disease. Characterizing the differences between pathogenic and commensal non-pathogenic bacteria is important for the detection of emerging pathogens and for the development of new treatments. Previous methods for classification of bacteria as pathogenic or non-pathogenic used either raw genomic reads or protein families as features. Using protein families instead of reads provided a better interpretability of the resulting model. However, the accuracy of protein-families-based classifiers can still be improved.

Results

We developed a wide scope patho

SUBMITTER: Naor-Hoffmann S 

PROVIDER: S-EPMC9233384 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature