PRAWNS: compact pan-genomic features for whole-genome population genomics

Author:

Javkar Kiran12ORCID,Rand Hugh3,Strain Errol4,Pop Mihai1ORCID

Affiliation:

1. Department of Computer Science, University of Maryland , College Park, MD 20742, USA

2. Joint Institute for Food Safety and Applied Nutrition, University of Maryland , College Park, MD 20740, USA

3. Center for Food Safety and Applied Nutrition, United States Food and Drug Administration , College Park, MD 20740, USA

4. Center for Veterinary Medicine, United States Food and Drug Administration , Laurel, MD 20708, USA

Abstract

AbstractMotivationScientists seeking to understand the genomic basis of bacterial phenotypes, such as antibiotic resistance, today have access to an unprecedented number of complete and nearly complete genomes. Making sense of these data requires computational tools able to perform multiple-genome comparisons efficiently, yet currently available tools cannot scale beyond several tens of genomes.ResultsWe describe PRAWNS, an efficient and scalable tool for multiple-genome analysis. PRAWNS defines a concise set of genomic features (metablocks), as well as pairwise relationships between them, which can be used as a basis for large-scale genotype–phenotype association studies. We demonstrate the effectiveness of PRAWNS by identifying genomic regions associated with antibiotic resistance in Acinetobacter baumannii.Availability and implementationPRAWNS is implemented in C++ and Python3, licensed under the GPLv3 license, and freely downloadable from GitHub (https://github.com/KiranJavkar/PRAWNS.git).Supplementary informationSupplementary data are available at Bioinformatics online.

Funder

Center for Food Safety and Applied Nutrition

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference36 articles.

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4. Pathogen genomics in public health;Armstrong;N. Engl. J. Med,2019

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