Author

Ray Sajulga

University of MinnesotaORCID 0000-0002-9181-4303Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:proteomics· 4 Approach:statistical model· 4 Research Focus:benchmarking· 3 Assay:metagenomics· 3 Research Focus:database / resource· 2 Research Focus:software / tool· 2 Approach:benchmark study· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

James E. JohnsoniD· 4 shared Pratik Dilip JagtapiD· 4 shared Praveen KumariD· 4 shared Subina MehtaiD· 4 shared Timothy J. GriffiniD· 4 shared Caleb EasterlyiD· 3 shared Brook L. NunniD· 2 shared Thomas F. McGowaniD· 2 shared

Activity by Year

2020-2020 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersBioinformatics

James E. JohnsonORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Survey of metaproteomics software tools for functional microbiome analysis.

Ray Sajulga, Caleb Easterly, Michael E. Riffle, Bart Mesuere, Thilo Muth, Subina Mehta, Praveen Kumar, James E. Johnson, Bjoern Gruening, Henning Schiebenhoefer, Carolin A. Kolmeder, Stephan Fuchs, Brook L. Nunn, Joel D. Rudney, Timothy J. Griffin, Pratik Dilip Jagtap

This paper evaluates six metaproteomics tools for functional annotation using GO terms, finding differences in sensitivity and specificity, and integrates two into Galaxy for broader accessibility.

PLoS ONE · Nov 10, 2020Peer-reviewedBioinformatics

Precursor intensity-based label-free quantification software tools for proteomic and multi-omic analysis within the Galaxy Platform.

Subina Mehta, Caleb Easterly, Ray Sajulga, Robert J. Millikin, Andrea Argentini, Ignacio Eguinoa, Lennart Martens, Michael R. Shortreed, Lloyd M. Smith, Thomas F. McGowan, Praveen Kumar, James E. Johnson, Timothy J. Griffin, Pratik Dilip Jagtap

The paper evaluates and implements two label-free quantification tools in the Galaxy platform for proteomics and multi-omics analysis.

Proteomes · Jul 8, 2020Peer-reviewedBioinformatics

A sectioning and database enrichment approach for improved peptide spectrum matching in large, genome-guided protein sequence databases

Praveen Kumar, James E. Johnson, Caleb Easterly, Subina Mehta, Ray Sajulga, Brook L. Nunn, Pratik Dilip Jagtap, Timothy J. Griffin

The paper introduces a sectioning method to improve peptide spectrum matching in large genome-guided protein sequence databases by increasing sensitivity while maintaining acceptable false discovery rates.

Journal of Proteome Research · May 12, 2020Peer-reviewedBioinformatics

Multi-omics Visualization Platform: An extensible Galaxy plug-In for multi-omics data visualization and exploration

Thomas F. McGowan, James E. Johnson, Praveen Kumar, Ray Sajulga, Subina Mehta, Pratik Dilip Jagtap, Timothy J. Griffin

The paper introduces a Galaxy plugin for proteogenomic data visualization and exploration, enabling interactive analysis and sharing of results.

GigaScience · Mar 28, 2020Peer-reviewedBioinformatics