Author

Seong Won Cha

University of California San DiegoORCID 0000-0001-6732-8471Unclaimed 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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Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Vineet BafnaiD· 2 shared Deniz Baycın Hızal· 1 shared Kelly Heffner· 1 shared Michael A. BoweniD· 1 shared Michael A. HenryiD· 1 shared Michael J. BetenbaughiD· 1 shared Nathan E. LewisiD· 1 shared Paula MeleadyiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Vineet BafnaORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Proteome ResearchPeer-reviewedApr 25, 2019

Proteogenomic annotation of the Chinese hamster reveals extensive novel translation events and endogenous retroviral elements

Shangzhong Li, Seong Won Cha, Kelly Heffner…·Nathan E. Lewis

The paper improves genome annotation for Chinese hamster by integrating RNA-Seq, proteomics, and Ribo-Seq, identifying new proteins and translational events, and addressing retroviral contamination in CHO cell lines.

19 citations

mouseproteomics

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BioinformaticsMolecular & Cellular ProteomicsPeer-reviewedOct 18, 2017

The antibody repertoire of colorectal cancer

Seong Won Cha, Stefano R. Bonissone, Seungjin Na…·Vineet Bafna

The paper introduces AbScan, a proteogenomic method to identify antibody peptides from RNA-seq data, and applies it to colorectal cancer samples to find correlations between antibody peptides and survival.

12 citations

humanbulk RNA-seq

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