James G. Bollinger

Molecular Biology · 2017–2019

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

Subfields

Whom James G. Bollinger trusts overall

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

  1. Paola Picotti

Papers from James G. Bollinger's perspective

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

  1. Computational prediction of proteotypic peptides for quantitative proteomics (Nature Biotechnology)
  2. A common open representation of mass spectrometry data and its application to proteomics research (Nature Biotechnology)
  3. mProphet: automated data processing and statistical validation for large-scale SRM experiments (Nature Methods)
  4. Options and considerations when selecting a quantitative proteomics strategy (Nature Biotechnology)
  5. Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics (Cell)
  6. Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis* (Molecular & Cellular Proteomics)
  7. Mass spectrometry–based proteomics turns quantitative (Nature Chemical Biology)
  8. MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments (Bioinform.)
  9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  10. Open source system for analyzing, validating, and storing protein identification data. (Journal of Proteome Research)

Their papers