Author

Rena McClory

Personalis (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Charles W. AbbottiD· 1 shared Dattatreya MellacheruvuiD· 1 shared Gabor T. Bartha· 1 shared Jason HarrisiD· 1 shared John S. West· 1 shared Michael P. SnyderiD· 1 shared Nick A. PhillipsiD· 1 shared Rachel Marty PykeiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Charles W. AbbottORCID

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1 paper

Recent·Most cited

Precision neoantigen discovery using large-scale immunopeptidomes and composite modeling of MHC peptide presentation

Rachel Marty Pyke, Dattatreya Mellacheruvu, Steven Dea, Charles W. Abbott, Simo V. Zhang, Nick A. Phillips, Jason Harris, Gabor T. Bartha, Sejal Desai, Rena McClory, John S. West, Michael P. Snyder, Richard Chen, Sean Michael Boyle

This paper introduces SHERPA, a pan-allelic MHC-peptide prediction algorithm, which improves neoantigen discovery by integrating immunopeptidomics data and composite modeling.

Molecular & Cellular Proteomics · Jan 1, 2021Peer-reviewedBioinformatics