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Maccoss nature methods author's guide: >> http://cwv.cloudz.pw/download?file=maccoss+nature+methods+author's+guide << (Download)
Maccoss nature methods author's guide: >> http://cwv.cloudz.pw/read?file=maccoss+nature+methods+author's+guide << (Read Online)
27 Apr 2012 Informatics has driven mass spectrometry-based protein analysis to create large-scale methods for proteomics. As software algorithms have developed, comparisons between algorithms are inevitable. We outline steps for fair and objective comparisons that will make true innovations apparent.
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[abstract]; Egertson, Nature Protocols 2015 article (cited by 53) Multiplexed peptide analysis using data-independent acquisition and Skyline [abstract]; Abbatiello, Mollecular Cellular Proteomics 2015 article (cited by 86) Large-scale inter-laboratory study to develop, analytically validate and apply highly multiplexed,
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10 Oct 2012 Parag Mallick; - Show fewer authors. To the Editor: Mass spectrometry–based proteomics has become an important component of biological research. Numerous proteomics methods have been developed to identify and quantify the proteins in biological and clinical samples, identify pathways affected by
23 Jun 2013 Michael J MacCoss; - Show fewer authors. Nature Methods volume 10, pages 744–746 (2013); doi :10.1038/nmeth.2528; Download Citation · Data acquisition · Proteome informatics · Proteomic analysis · Proteomics. Received: 29 August 2012; Accepted: 03 May 2013; Published online: 23 June 2013
7 Aug 2017 Here we present PECAN (pecan.maccosslab.org), a library-free, peptide-centric tool that robustly and accurately detects peptides directly from DIA To achieve unbiased sampling while providing comprehensive measurement, most DIA methods use wide isolation windows that sacrifice precursor
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6 Nov 2011 Blogs citing this article. Posted on: 29 September 2014. Mass spectrometry-based proteomics at Nature Methods. A look back at highlights in proteomics technology developments published in Nature Methods. The last decade has seen amazing advances in mass spectrometry-based proteomics
View Michael MacCoss' profile on LinkedIn, the world's largest professional community. Michael has 4 jobs listed on their profile. See the with the risk of developing OSCC. Overall, this study successfully used targeted proteomics to measure in saliva a panel of biomarker candidates for OSCC. Authors: Michael MacCoss
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