A cross-platform toolkit for mass spectrometry and proteomics
2012 · Nature Biotechnology · 4,117 citations
https://doi.org/10.1038/nbt.2377
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Michael J. MacCoss
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Michael J. MacCoss is an academic researcher from University of Washington. The author has contributed to research in topics: Advanced Proteomics Techniques and Applications & Mass Spectrometry Techniques and Applications & Metabolomics and Mass Spectrometry Studies. The author has an h-index of 94, co-authored 403 publications.
ORCID: 0000-0003-1853-0256Papers by this author
worksSemi-supervised learning for peptide identification from shotgun proteomics datasets
2007 · Nature Methods · 2,485 citations
https://doi.org/10.1038/nmeth1113
The ProteomeXchange consortium at 10 years: 2023 update
2022 · Nucleic Acids Research · 783 citations
https://doi.org/10.1093/nar/gkac1040
Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics
2020 · Journal of Proteome Research · 586 citations
https://doi.org/10.1021/acs.jproteome.9b00640
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry
2018 · Nature Communications · 562 citations
https://doi.org/10.1038/s41467-018-07454-w
Fast and Accurate Protein False Discovery Rates on Large-Scale Proteomics Data Sets with Percolator 3.0
2016 · Journal of the American Society for Mass Spectrometry · 462 citations
https://doi.org/10.1007/s13361-016-1460-7
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