Author

Daryl Wilding‐McBride

The University of MelbourneORCID 0000-0003-3796-1297Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Andrew Ian WebbiD· 3 shared Giuseppe InfusiniiD· 2 shared Laura F. DagleyiD· 1 shared Sukhdeep Kaur Spall· 1 shared

Activity by Year

2022-2022 · peak 3/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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3 shared papersBioinformatics

Andrew Ian WebbORCID

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3 papers

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedNov 30, 2022

A de novo MS1 feature detector for the Bruker timsTOF Pro

Daryl Wilding‐McBride, Andrew Ian Webb

This paper introduces a de novo feature detector, 3DID, for analyzing timsTOF Pro data, which identifies more peptide features across a broader abundance range than existing tools.

3 citations

proteomicsexperimental assay

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedJul 7, 2022

Simplifying MS1 and MS2 spectra to achieve lower mass error, more dynamic range, and higher peptide identification confidence on the Bruker timsTOF Pro

Daryl Wilding‐McBride, Laura F. Dagley, Sukhdeep Kaur Spall…·Andrew Ian Webb

The paper introduces four algorithms to improve peptide identification in mass spectrometry data by reducing mass error, enhancing dynamic range, and increasing identification confidence on the Bruker timsTOF Pro.

4 citations

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 25, 2022

Predicting coordinates of peptide features in raw timsTOF data with machine learning for targeted extraction reduces missing values in label-free DDA LC-MS/MS proteomics experiments

Daryl Wilding‐McBride, Giuseppe Infusini, Andrew Ian Webb

DOI 10.1101/2022.04.25.489464

proteomicsmachine learning (classical)

𝕏 PostBluesky