Marcus Bantscheff

Molecular Biology · 2007–2018

A researcher in the Science corpus: 11 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Marcus Bantscheff trusts overall

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

  1. Matthias Mann
  2. Jesper V. Olsen
  3. R. Aebersold
  4. Jüergen Cox
  5. Zachary A. Knight
  6. Shao-En Ong
  7. Ryota Suzuki
  8. Alexey I. Nesvizhskii

Who trusts Marcus Bantscheff overall

  1. Alexey I. Nesvizhskii
  2. Jüergen Cox
  3. Matthias Mann
  4. B. Misra
  5. Chunaram Choudhary
  6. P. Boersema
  7. Chih-Chiang Tsou
  8. A. West
  9. David D. Shteynberg
  10. John R. Yates III

Papers from Marcus Bantscheff's perspective

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

  1. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry (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. Analysis and validation of proteomic data generated by tandem mass spectrometry (Nature Methods)
  4. Andromeda: a peptide search engine integrated into the MaxQuant environment. (Journal of Proteome Research)
  5. iProphet: Multi-level Integrative Analysis of Shotgun Proteomic Data Improves Peptide and Protein Identification Rates and Error Estimates* (Molecular & Cellular Proteomics)
  6. Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry* (Molecular & Cellular Proteomics)
  7. Protein kinases — the major drug targets of the twenty-first century? (Nature reviews. Drug discovery)
  8. Mass-spectrometry-based draft of the human proteome (Nature)
  9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  10. Genome-wide mapping of HATs and HDACs reveals distinct functions in active and inactive genes (Cell)

Their papers