Michael J. MacCoss
Molecular Biology · 2002–2022
A researcher in the Science corpus: 18 papers; trusts 11 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 203 citations into it; #2,611 of 17,773 by trust here, #1,914 by citations
- Spectroscopy — 113 citations into it; #194 of 1,674 by trust here, #175 by citations
Whom Michael J. MacCoss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Michael J. MacCoss overall
- Rovshan G. Sadygov
- Alexey I. Nesvizhskii
- Markus Brosch
- Matthias Mann
- Lukas Käll
- John R. Yates III
- Daniel Cociorva
- Joshua E. Elias
- Jüergen Cox
- P. Villemereuil
Papers from Michael J. MacCoss's perspective
Ordered by how strongly the researchers Michael J. MacCoss trusts endorse each paper. Same corpus, a different order for every researcher.
- Large-scale analysis of the yeast proteome by multidimensional protein identification technology (Nature Biotechnology)
- A model for random sampling and estimation of relative protein abundance in shotgun proteomics. (Analytical Chemistry)
- Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* (Molecular & Cellular Proteomics)
- The Need for Guidelines in Publication of Peptide and Protein Identification Data (Molecular & Cellular Proteomics)
- A proteomic view of the Plasmodium falciparum life cycle (Nature)
- Computational prediction of proteotypic peptides for quantitative proteomics (Nature Biotechnology)
- Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents*S (Molecular & Cellular Proteomics)
- A training algorithm for optimal margin classifiers
- Multi-site assessment of the precision and reproducibility of multiple reaction monitoring–based measurements of proteins in plasma (Nature Biotechnology)
- Enrichment analysis of phosphorylated proteins as a tool for probing the phosphoproteome (Nature Biotechnology)
Their papers
- An expansive human regulatory lexicon encoded in transcription factor footprints (2012) — 841 citations
- Assigning significance to peptides identified by tandem mass spectrometry using decoy databases. (2008) — 621 citations
- Semi-supervised learning for peptide identification from shotgun proteomics datasets (2007) — 2,199 citations
- Probability-based validation of protein identifications using a modified SEQUEST algorithm. (2002) — 353 citations
- The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics (2019) — 653 citations
- Posterior error probabilities and false discovery rates: two sides of the same coin. (2008) — 326 citations
- A method for the comprehensive proteomic analysis of membrane proteins (2003) — 632 citations
- Integrative Analysis of the Caenorhabditis elegans Genome by the modENCODE Project (2010) — 1,033 citations
- MS1, MS2, and SQT-three unified, compact, and easily parsed file formats for the storage of shotgun proteomic spectra and identifications. (2004) — 341 citations
- A Cross-platform Toolkit for Mass Spectrometry and Proteomics (2012) — 3,664 citations
- The Skyline Ecosystem: Informatics for Quantitative Mass Spectrometry Proteomics (2017) — 676 citations
- Aminoglycoside antibiotics induce bacterial biofilm formation (2005) — 1,256 citations
- Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry (2018) — 474 citations
- Platform-independent and Label-free Quantitation of Proteomic Data Using MS1 Extracted Ion Chromatograms in Skyline (2012) — 419 citations
- Fast and Accurate Protein False Discovery Rates on Large-Scale Proteomics Data Sets with Percolator 3.0 (2016) — 407 citations
- Molecular architecture and assembly of the DDB1–CUL4A ubiquitin ligase machinery (2006) — 677 citations
- The ProteomeXchange consortium at 10 years: 2023 update (2022) — 684 citations
- How many human proteoforms are there? (2018) — 737 citations