Mathias Wilhelm
Molecular Biology · 2014–2019
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 96 citations into it
- Spectroscopy — 59 citations into it
Whom Mathias Wilhelm trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mathias Wilhelm overall
Papers from Mathias Wilhelm's perspective
Ordered by how strongly the researchers Mathias Wilhelm trusts endorse each paper. Same corpus, a different order for every researcher.
- A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics (Journal of Proteomics)
- iProphet: Multi-level Integrative Analysis of Shotgun Proteomic Data Improves Peptide and Protein Identification Rates and Error Estimates* (Molecular & Cellular Proteomics)
- Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry (Nature Methods)
- Andromeda: a peptide search engine integrated into the MaxQuant environment. (Journal of Proteome Research)
- Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips
- Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry* (Molecular & Cellular Proteomics)
- ProteomeXchange provides globally co-ordinated proteomics data submission and dissemination (Nature Biotechnology)
- Posterior error probabilities and false discovery rates: two sides of the same coin. (Journal of Proteome Research)
- Analysis and validation of proteomic data generated by tandem mass spectrometry (Nature Methods)
- Proteogenomic characterization of human colon and rectal cancer (Nature)
Their papers
- Mass-spectrometry-based draft of the human proteome (2014) — 1,824 citations
- A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets (2015) — 391 citations
- Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning (2019) — 776 citations
- A deep proteome and transcriptome abundance atlas of 29 healthy human tissues (2018) — 661 citations
- The target landscape of clinical kinase drugs (2017) — 753 citations