S. Tate
Molecular Biology · Molecular & Cellular Proteomics · 2012–2016
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 54 citations into it
- Spectroscopy — 54 citations into it
Whom S. Tate trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from S. Tate's perspective
Ordered by how strongly the researchers S. Tate trusts endorse each paper. Same corpus, a different order for every researcher.
- Global analysis of protein expression in yeast (Nature)
- KEGG for representation and analysis of molecular networks involving diseases and drugs (Nucleic Acids Res.)
- Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast (Nature)
- Multi-site assessment of the precision and reproducibility of multiple reaction monitoring–based measurements of proteins in plasma (Nature Biotechnology)
- More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC-MS/MS. (Journal of Proteome Research)
- Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics (Cell)
- Options and considerations when selecting a quantitative proteomics strategy (Nature Biotechnology)
- mProphet: automated data processing and statistical validation for large-scale SRM experiments (Nature Methods)
- Using annotated peptide mass spectrum libraries for protein identification. (Journal of Proteome Research)
- A model for random sampling and estimation of relative protein abundance in shotgun proteomics. (Analytical Chemistry)
Their papers
- Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis* (2012) — 2,509 citations
- A repository of assays to quantify 10,000 human proteins by SWATH-MS (2014) — 400 citations
- A multi-center study benchmarks software tools for label-free proteome quantification (2016) — 316 citations