Author

Deepesh Agarwal

Harvard University

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Systems Biology· 1

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Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Bryan P. Early· 1 shared Caroline J. DeHartiD· 1 shared Dan LüiD· 1 shared Galit LahaviD· 1 shared Jeremy GunawardenaiD· 1 shared Neil L. KelleheriD· 1 shared Paul M. ThomasiD· 1 shared Philip Daniel ComptoniD· 1 shared

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2018-2018 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperSystems Biology

Bryan P. Early

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1 paper

Recent·Most cited

Analysing protein post-translational modform regions by linear programming

Deepesh Agarwal, Ryan T. Fellers, Bryan P. Early, Dan Lü, Caroline J. DeHart, Philip Daniel Compton, Paul M. Thomas, Galit Lahav, Neil L. Kelleher, Jeremy Gunawardena

The paper uses linear programming to estimate modform distributions of proteins with multiple post-translational modifications, showing that combining bottom-up and top-down MS data reduces average modform range.

bioRxiv · Oct 30, 2018 · PreprintSystems Biology