MultiPhATE2: code for functional annotation and comparison of phage genomes

Author:

Ecale Zhou Carol L1,Kimbrel Jeffrey2ORCID,Edwards Robert3456,McNair Katelyn3,Souza Brian A2,Malfatti Stephanie2

Affiliation:

1. Global Security Computing Applications, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA

2. Biosciences & Biotechnology Research Division, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA

3. Computational Sciences Research Center, San Diego State University, San Diego, CA 92182, USA

4. Department of Biology, San Diego State University, San Diego, CA 92182, USA

5. Viral Information Institute, San Diego State University, San Diego, CA 92182, USA

6. College of Science and Engineering, Flinders University, Bedford Park, SA 5048, Australia

Abstract

Abstract To address a need for improved tools for annotation and comparative genomics of bacteriophage genomes, we developed multiPhATE2. As an extension of multiPhATE, a functional annotation code released previously, multiPhATE2 performs gene finding using multiple algorithms, compares the results of the algorithms, performs functional annotation of coding sequences, and incorporates additional search algorithms and databases to extend the search space of the original code. MultiPhATE2 performs gene matching among sets of closely related bacteriophage genomes, and uses multiprocessing to speed computations. MultiPhATE2 can be re-started at multiple points within the workflow to allow the user to examine intermediate results and adjust the subsequent computations accordingly. In addition, multiPhATE2 accommodates custom gene calls and sequence databases, again adding flexibility. MultiPhATE2 was implemented in Python 3.7 and runs as a command-line code under Linux or MAC operating systems. Full documentation is provided as a README file and a Wiki website.

Funder

United States Department of Defense, Defense Threat Reduction Agency

United States Department of Energy Office of Biological and Environmental Research

Publisher

Oxford University Press (OUP)

Subject

Genetics(clinical),Genetics,Molecular Biology

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