Dmitry Avtonomov
Molecular Biology · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 95 citations into it; #16,970 of 17,773 by trust here, #11,410 by citations
- Spectroscopy — 40 citations into it; #1,590 of 1,674 by trust here, #975 by citations
Whom Dmitry Avtonomov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Dmitry Avtonomov overall
Papers from Dmitry Avtonomov's perspective
Ordered by how strongly the researchers Dmitry Avtonomov 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)
- Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS. (Analytical Chemistry)
- 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)
- A Guided Tour of the Trans-Proteomic Pipeline (Proteomics)
- mProphet: automated data processing and statistical validation for large-scale SRM experiments (Nature Methods)
- Cytoscape: a software environment for integrated models of biomolecular interaction networks.
- Faculty Opinions recommendation of Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.
- TANDEM: matching proteins with tandem mass spectra. (Bioinformatics)
- Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra (Nature Methods)
- iProphet: Multi-level Integrative Analysis of Shotgun Proteomic Data Improves Peptide and Protein Identification Rates and Error Estimates* (Molecular & Cellular Proteomics)
Their papers
- MSFragger: ultrafast and comprehensive peptide identification in shotgun proteomics (2017) — 1,509 citations
- DIA-Umpire: comprehensive computational framework for data independent acquisition proteomics (2015) — 596 citations
- Philosopher: a versatile toolkit for shotgun proteomics data analysis (2020) — 515 citations
- Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma (2019) — 634 citations