George A. Rosenberger
Molecular Biology · 2014–2022
A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 143 citations into it
- Spectroscopy — 135 citations into it
Whom George A. Rosenberger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts George A. Rosenberger overall
Papers from George A. Rosenberger's perspective
Ordered by how strongly the researchers George A. Rosenberger trusts endorse each paper. Same corpus, a different order for every researcher.
- mProphet: automated data processing and statistical validation for large-scale SRM experiments (Nature Methods)
- 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)
- A model for random sampling and estimation of relative protein abundance in shotgun proteomics. (Analytical Chemistry)
- Computational prediction of proteotypic peptides for quantitative proteomics (Nature Biotechnology)
- MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments (Bioinform.)
- 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)
- TANDEM: matching proteins with tandem mass spectra. (Bioinformatics)
- Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra (Nature Methods)
- Mass-spectrometry-based draft of the human proteome (Nature)
- Plasma Proteome Profiling to Assess Human Health and Disease. (Cell Systems)
Their papers
- OpenMS: a flexible open-source software platform for mass spectrometry data analysis (2016) — 599 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
- Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial (2018) — 875 citations
- Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry (2016) — 518 citations
- dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts (2022) — 327 citations
- Building high-quality assay libraries for targeted analysis of SWATH MS data (2015) — 303 citations