Author

Daisha Van Der Watt

Brigham Young University

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· 2

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

Amanda J. GuiseiD· 2 shared Edward D. PloweyiD· 2 shared Hannah Boekweg· 2 shared Ryan KellyiD· 2 shared Samuel PayneiD· 2 shared Thy TruongiD· 2 shared S. Madisyn Johnston· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Amanda J. GuiseORCID

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2 papers

Recent·Most cited

Features of peptide fragmentation spectra in single cell proteomics

Hannah Boekweg, Daisha Van Der Watt, Thy Truong, S. Madisyn Johnston, Amanda J. Guise, Edward D. Plowey, Ryan Kelly, Samuel Payne

This study examines how peptide fragmentation spectra differ between single cell and bulk proteomics, identifying key changes that affect peptide identification.

Journal of Proteome Research · Dec 17, 2021Peer-reviewedBioinformatics

Benchmarking PSM identification tools for single cell proteomics

Daisha Van Der Watt, Hannah Boekweg, Thy Truong, Amanda J. Guise, Edward D. Plowey, Ryan Kelly, Samuel Payne

This study benchmarks peptide spectrum match identification tools for single cell proteomics and finds MetaMorpheus performs best at 1% FDR, with post-processing ML improving results by up to 40%.

bioRxiv · Aug 17, 2021 · PreprintBioinformatics