Author

João Carlos Gomes Neto

University of Nebraska–LincolnORCID 0000-0002-9145-8767Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Research Focus:database / resource· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1

Frequent Co-Authors

Andrew K. BensoniD· 2 shared Jitender S. DeoguniD· 2 shared Natasha Pavlovikj· 2 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Andrew K. BensonORCID

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2 papers

Recent·Most cited

Systems-based approach for optimization of a scalable bacterial ST mapping assembly-free algorithm

Natasha Pavlovikj, João Carlos Gomes Neto, Jitender S. Deogun, Andrew K. Benson

The paper optimizes an assembly-free algorithm for bacterial ST mapping and integrates it into a scalable platform for genomic epidemiology.

bioRxiv · Oct 28, 2021 · PreprintBioinformatics

ProkEvo: an automated, reproducible, and scalable framework for high-throughput bacterial population genomics analyses

Natasha Pavlovikj, João Carlos Gomes Neto, Jitender S. Deogun, Andrew K. Benson

ProkEvo is a scalable framework for bacterial population genomics that automates analyses of WGS data and generates population-based genotypes and annotations.

PeerJ · May 21, 2021Peer-reviewedBioinformatics