Author

Michael B. Mumphrey

University of MichiganORCID 0000-0003-3150-8694Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant calling· 2 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Marcin P. CieslikiD· 2 shared Noshad HosseiniiD· 2 shared Alexey I. NesvizhskiiiD· 1 shared Ginny Xiaohe LiiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Marcin P. CieslikORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 29, 2023

HLAProphet: Personalized allele-level quantification of the HLA proteins

Michael B. Mumphrey, Ginny Xiaohe Li, Noshad Hosseini…·Marcin P. Cieslik

HLAProphet improves HLA protein quantification by using personalized allele information from DNA sequencing, increasing peptide identifications and aligning with RNA expression and loss of heterozygosity.

DOI 10.1101/2023.01.29.526142

humanproteomics

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BioinformaticsbioRxivPreprintJan 29, 2023

MHCnvex: Likelihood-based model for calling the copy number variations and loss of heterozygosity in MHC class I and II locus

Noshad Hosseini, Michael B. Mumphrey, Marcin P. Cieslik

MHCnvex is a likelihood-based model for accurately calling copy number variations and loss of heterozygosity in MHC class I and II loci, improving accuracy by integrating adjacent chromosome 6 regions.

DOI 10.1101/2023.01.29.526131

whole-genome sequencingstatistical model

𝕏 PostBluesky