Author

Brian Souza

Lawrence Livermore National LaboratoryORCID 0009-0002-8341-5561Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:graph neural network· 1

Frequent Co-Authors

Carol L. Ecale Zhou· 3 shared Katelyn A. McNairiD· 3 shared Robert Alan EdwardsiD· 3 shared Jeffrey A. KimbreliD· 2 shared Stephanie MalfattiiD· 2 shared Casandra Washington Philipson· 1 shared Elizabeth Ann DinsdaleiD· 1 shared Theron HamiltoniD· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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3 shared papersBioinformatics

Carol L. Ecale Zhou

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3 papers

Recent·Most cited

MultiPhATE2: Code for Functional Annotation and Comparison of Bacteriophage Genomes

Carol L. Ecale Zhou, Jeffrey A. Kimbrel, Robert Alan Edwards, Katelyn A. McNair, Brian Souza, Stephanie Malfatti

The paper introduces multiPhATE2, a tool for functional annotation and comparative genomics of bacteriophage genomes, with improved scalability and additional search algorithms.

G3 Genes Genomes Genetics · Mar 17, 2021Peer-reviewedBioinformatics

multiPhATE: bioinformatics pipeline for functional annotation of phage isolates

Carol L. Ecale Zhou, Stephanie Malfatti, Jeffrey A. Kimbrel, Casandra Washington Philipson, Katelyn A. McNair, Theron Hamilton, Robert Alan Edwards, Brian Souza

multiPhATE is a pipeline for annotating phage genomes, demonstrating its use on Yersinia pestis phage genomes and providing open-source tools for scalable phage annotation.

Bioinformatics · May 3, 2019Peer-reviewedBioinformatics

THEA: A novel approach to gene identification in phage genomes

Katelyn A. McNair, Carol L. Ecale Zhou, Elizabeth Ann Dinsdale, Brian Souza, Robert Alan Edwards

THEA improves gene prediction in phage genomes by exploiting their compact structure, identifying more genes than existing tools which are validated as functional.

Bioinformatics · Apr 16, 2019Peer-reviewedBioinformatics