S. Amon
Molecular Biology · 2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 33 citations into it
- Spectroscopy — 33 citations into it
Whom S. Amon trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Aebersold (in Spectroscopy)
- Matthias Mann (in Spectroscopy)
Papers from S. Amon's perspective
Ordered by how strongly the researchers S. Amon trusts endorse each paper. Same corpus, a different order for every researcher.
- MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments (Bioinform.)
- Plasma Proteome Profiling to Assess Human Health and Disease. (Cell Systems)
- Computational prediction of proteotypic peptides for quantitative proteomics (Nature Biotechnology)
- 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)
- Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ (Molecular & Cellular Proteomics)
- Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra (Nature Methods)
- MultiNotch MS3 Enables Accurate, Sensitive, and Multiplexed Detection of Differential Expression across Cancer Cell Line Proteomes (Analytical Chemistry)
- Mass-spectrometry-based draft of the human proteome (Nature)
- Selected reaction monitoring for quantitative proteomics: a tutorial (Molecular Systems Biology)
- Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues (Molecular & Cellular Proteomics)
Their papers
- Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial (2018) — 875 citations