S. Haynes

Molecular Biology · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Haynes trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Alexey I. Nesvizhskii
  2. R. Aebersold
  3. Jüergen Cox
  4. Matthias Mann
  5. Stefka Tyanova
  6. Chih-Chiang Tsou
  7. Lukas Reiter

Papers from S. Haynes's perspective

Ordered by how strongly the researchers S. Haynes trusts endorse each paper. Same corpus, a different order for every researcher.

  1. mProphet: automated data processing and statistical validation for large-scale SRM experiments (Nature Methods)
  2. A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics (Journal of Proteomics)
  3. Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra (Nature Methods)
  4. ProteomeXchange provides globally co-ordinated proteomics data submission and dissemination (Nature Biotechnology)
  5. Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ (Molecular & Cellular Proteomics)
  6. Analysis and validation of proteomic data generated by tandem mass spectrometry (Nature Methods)
  7. The MaxQuant computational platform for mass spectrometry-based shotgun proteomics
  8. DIA-Umpire: comprehensive computational framework for data independent acquisition proteomics (Nature Methods)
  9. Mass-spectrometric exploration of proteome structure and function (Nature)
  10. SuperHirn – a novel tool for high resolution LC‐MS‐based peptide/protein profiling (Proteomics)

Their papers