Author

D. C. L. Handler

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Biology Disciplines

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Biochemistry· 3

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Assay:proteomics· 3 Research Focus:benchmarking· 2 Research Focus:batch correction / integration· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Approach:statistical model· 1

Frequent Co-Authors

P. A. Haynes· 3 shared D. Multari· 1 shared L. Deng· 1 shared

Activity by Year

2020-2021 · peak 2/yr

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3 top collaborators · 3 mutual co-author links

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3 shared papersBiochemistry

P. A. Haynes

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3 papers

Recent·Most cited

An experimentally-derived measure of inter-replicate variation in reference samples: the same-same permutation methodology

D. C. L. Handler, P. A. Haynes

The paper introduces a method to estimate inter-replicate variability in proteomics experiments using permutation analysis, enabling tailored multiple testing corrections.

bioRxiv · May 13, 2021 · PreprintBiochemistry

PeptideMind: applying machine learning algorithms to assess replicate quality in shotgun proteomic data

D. C. L. Handler, P. A. Haynes

PeptideMind assesses replicate quality in shotgun proteomics data by using machine learning to identify biasing replicates and visualize significance measures.

bioRxiv · Aug 20, 2020Biochemistry

Comparison of protein and peptide fractionation approaches in protein identification and quantification from Saccharomyces cerevisiae

L. Deng, D. C. L. Handler, D. Multari, P. A. Haynes

This study compares protein and peptide fractionation methods for proteome analysis in yeast, finding that FASP-HpH provides the highest protein identification when using a high-resolution mass spectrometer.

bioRxiv · Feb 13, 2020Biochemistry