| scholarly article | Q13442814 |
| P50 | author | Jyoti Choudhary | Q56421088 |
| Hendrik Weisser | Q89747616 | ||
| P2093 | author name string | Hendrik Weisser | |
| P2860 | cites work | Probability-based protein identification by searching sequence databases using mass spectrometry data | Q27860736 |
| Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search | Q28211385 | ||
| OpenMS: a flexible open-source software platform for mass spectrometry data analysis | Q28278187 | ||
| 2016 update of the PRIDE database and its related tools | Q28603110 | ||
| TANDEM: matching proteins with tandem mass spectra | Q29615238 | ||
| DeMix-Q: Quantification-Centered Data Processing Workflow | Q30739756 | ||
| DeMix workflow for efficient identification of cofragmented peptides in high resolution data-dependent tandem mass spectrometry | Q30841122 | ||
| Development and validation of a spectral library searching method for peptide identification from MS/MS. | Q33273391 | ||
| TOPPView: an open-source viewer for mass spectrometry data | Q33441612 | ||
| mProphet: automated data processing and statistical validation for large-scale SRM experiments | Q33851184 | ||
| Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis | Q34133645 | ||
| Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. | Q34157715 | ||
| Platform-independent and label-free quantitation of proteomic data using MS1 extracted ion chromatograms in skyline: application to protein acetylation and phosphorylation | Q34210429 | ||
| An automated pipeline for high-throughput label-free quantitative proteomics | Q34326747 | ||
| Recognizing millions of consistently unidentified spectra across hundreds of shotgun proteomics datasets | Q36095680 | ||
| Spectral probabilities and generating functions of tandem mass spectra: a strike against decoy databases | Q37209690 | ||
| Mass-spectrometric exploration of proteome structure and function | Q38954701 | ||
| SuperHirn - a novel tool for high resolution LC-MS-based peptide/protein profiling | Q42630073 | ||
| MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments | Q42658640 | ||
| Semi-supervised learning for peptide identification from shotgun proteomics datasets. | Q45965072 | ||
| moFF: a robust and automated approach to extract peptide ion intensities | Q48190980 | ||
| OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data | Q48317444 | ||
| P433 | issue | 8 | |
| P921 | main subject | Shotgun proteomics | Q7502514 |
| P304 | page(s) | 2964-2974 | |
| P577 | publication date | 2017-07-04 | |
| P1433 | published in | Journal of Proteome Research | Q3186939 |
| P1476 | title | Targeted Feature Detection for Data-Dependent Shotgun Proteomics | |
| P478 | volume | 16 |
| Q92861425 | A Review of the Scientific Rigor, Reproducibility, and Transparency Studies Conducted by the ABRF Research Groups |
| Q89747619 | A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry |
| Q89576000 | Discovery of the Consistently Well-Performed Analysis Chain for SWATH-MS Based Pharmacoproteomic Quantification |
| Q92464498 | Identification and quantification of sites of nitration and oxidation in the key matrix protein laminin and the structural consequences of these modifications |
| Q64906748 | IonStar enables high-precision, low-missing-data proteomics quantification in large biological cohorts. |
| Q90552077 | MHCquant: Automated and Reproducible Data Analysis for Immunopeptidomics |
| Q92668838 | MS1 ion current-based quantitative proteomics: A promising solution for reliable analysis of large biological cohorts |
| Q91391484 | ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion |
| Q47399403 | Ultrafast Peptide Label-Free Quantification with FlashLFQ. |
Search more.