☰

Michael J. MacCoss, Ph.D.

Affiliations: 
2004- Genomic Sciences University of Washington, Seattle, Seattle, WA 
Area:
proteomics, mass spectrometry, biochemistry, separations, bioinformatics, software development, quantitative analysis
Website:
http://maccosslab.org
Google:
"Michael MacCoss"
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Parents

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Dwight E. Matthews grad student 1996-2001 University of Vermont
John Yates III post-doc 2001-2004 Scripps Institute

Children

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Aaron A. Klammer grad student 2004-2008 University of Washington (Neurotree)
Michael R. Hoopmann grad student 2005-2009 University of Washington
Gregory L. Finney grad student 2020-2012 University of Washington
Katrina G. Claw grad student 2013 University of Washington
Jarrett D. Egertson grad student 2009-2013 University of Washington
Andrew Stergachis grad student 2009-2013 University of Washington
Scott Goulding grad student 2015 University of Colorado, Denver
Sonia Ting grad student 2011-2017 University of Washington
Han-Yin Yang grad student 2012-2018 University of Washington
Brian Searle grad student 2014-2018 University of Washington
Lindsay Pino grad student 2014-2019 University of Washington
Xianhua Yi post-doc 2004-2007 University of Washington
Joshua J. McElwee post-doc 2006-2007 University of Washington (Neurotree)
Jason Wooden post-doc 2006-2010 University of Washington
Daniela Tomazela post-doc 2008-2011 University of Washington
Edward J. Hsieh post-doc 2008-2013 University of Washington
Michael S. Bereman post-doc 2009-2013 University of Washington (Neurotree)
Huilin Shi post-doc 2013-2015 University of Washington
James G. Bollinger post-doc 2013-2016 University of Washington
Jason Gilmore post-doc 2014-2018 University of Washington
Sandi Spencer post-doc 2016-2018 University of Washington
Alexander J. Federation post-doc 2016-2019 University of Washington

Collaborators

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Publications

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Vaca Jacome AS, Peckner R, Shulman N, et al. (2020) Avant-garde: an automated data-driven DIA data curation tool. Nature Methods
Remes PM, Yip P, MacCoss MJ. (2020) Highly Multiplex Targeted Proteomics Enabled by Real-Time Chromatographic Alignment. Analytical Chemistry. 92: 11809-11817
Chiao YA, Zhang H, Sweetwyne M, et al. (2020) Late-life restoration of mitochondrial function reverses cardiac dysfunction in old mice. Elife. 9
Ray J, Kruse A, Ozer A, et al. (2020) RNA aptamer capture of macromolecular complexes for mass spectrometry analysis. Nucleic Acids Research
Shamsaei B, Chojnacki S, Pilarczyk M, et al. (2020) piNET: a versatile web platform for downstream analysis and visualization of proteomics data. Nucleic Acids Research
Rohde T, Chupalov R, Shulman N, et al. (2020) Audit Logs to enforce document integrity in Skyline & Panorama. Bioinformatics (Oxford, England)
Pino LK, Just SC, MacCoss MJ, et al. (2020) Acquiring and Analyzing Data Independent Acquisition Proteomics Experiments without Spectrum Libraries. Molecular & Cellular Proteomics : McP
Federation AJ, Nandakumar V, Searle BC, et al. (2020) Highly Parallel Quantification and Compartment Localization of Transcription Factors and Nuclear Proteins. Cell Reports. 30: 2463-2471.e5
Pino LK, Searle BC, Yang HY, et al. (2020) Matrix-matched calibration curves for assessing analytical figures of merit in quantitative proteomics. Journal of Proteome Research
Fleites LA, Johnson R, Kruse AR, et al. (2020) Peptidomics approaches for the identification of bioactive molecules from . Journal of Proteome Research
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