| human | Q5 |
| P2037 | GitHub username | edeutsch |
| P496 | ORCID iD | 0000-0001-8732-0928 |
| P69 | educated at | Johns Hopkins University | Q193727 |
| University of Washington | Q219563 | ||
| P108 | employer | Microsoft | Q2283 |
| University of Washington | Q219563 | ||
| National Autonomous University of Mexico | Q222738 | ||
| Institute for Systems Biology | Q1829731 | ||
| P735 | given name | Eric | Q12788459 |
| Eric | Q12788459 | ||
| P106 | occupation | researcher | Q1650915 |
| P21 | sex or gender | male | Q6581097 |
| Q36632182 | A Bovine PeptideAtlas of milk and mammary gland proteomes |
| Q37632833 | A Candida albicans PeptideAtlas |
| Q112696064 | A Comprehensive Evaluation of Consensus Spectrum Generation Methods in Proteomics |
| Q37447178 | A HUPO test sample study reveals common problems in mass spectrometry-based proteomics |
| Q63352005 | A Tandem Mass Spectrometry Sequence Database Search Method for Identification of O-Fucosylated Proteins by Mass Spectrometry |
| Q62622264 | A Technique for Narrowband Time Series Photometry: The X‐Ray Star V2116 Ophiuchi |
| Q34080017 | A chromosome-centric human proteome project (C-HPP) to characterize the sets of proteins encoded in chromosome 17. |
| Q28291914 | A common open representation of mass spectrometry data and its application to proteomics research |
| Q34555110 | A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis |
| Q36349011 | A comprehensive Candida albicans PeptideAtlas build enables deep proteome coverage |
| Q24629036 | A cross-platform toolkit for mass spectrometry and proteomics |
| Q37406219 | A database of mass spectrometric assays for the yeast proteome |
| Q40532724 | A dataset of human liver proteins identified by protein profiling via isotope-coded affinity tag (ICAT) and tandem mass spectrometry |
| Q40059636 | A global Staphylococcus aureus proteome resource applied to the in vivo characterization of host-pathogen interactions |
| Q30497827 | A guided tour of the Trans-Proteomic Pipeline |
| Q35264564 | A high-confidence human plasma proteome reference set with estimated concentrations in PeptideAtlas |
| Q33282389 | A high-quality catalog of the Drosophila melanogaster proteome |
| Q100694024 | A high-stringency blueprint of the human proteome |
| Q31015627 | A honey bee (Apis mellifera L.) PeptideAtlas crossing castes and tissues |
| Q36787143 | A mouse plasma peptide atlas as a resource for disease proteomics |
| Q35066504 | A repository of assays to quantify 10,000 human proteins by SWATH-MS. |
| Q30773113 | A systematic approach to modeling, capturing, and disseminating proteomics experimental data |
| Q57170495 | A tissue-based draft map of the murine MHC class I immunopeptidome |
| Q33849501 | ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring mass spectrometry |
| Q91727371 | Advances in Identifying and Characterizing the Human Proteome |
| Q30489626 | An Open Data Format for Visualization and Analysis of Cross-Linked Mass Spectrometry Results |
| Q28546655 | An open-source computational and data resource to analyze digital maps of immunopeptidomes |
| Q35630299 | Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas |
| Q51135350 | Annual spring meeting of the Proteomics Standards Initiative |
| Q51123043 | Annual spring meeting of the Proteomics Standards Initiative 23-25 April 2008, Toledo, Spain |
| Q30886403 | Artificial decoy spectral libraries for false discovery rate estimation in spectral library searching in proteomics |
| Q57338687 | BDQC: a general-purpose analytics tool for domain-blind validation of Big Data |
| Q35704081 | Big biomedical data as the key resource for discovery science |
| Q92065187 | BioHackathon 2015: Semantics of data for life sciences and reproducible research |
| Q111416341 | Biolink Model: A Universal Schema for Knowledge Graphs in Clinical, Biomedical, and Translational Science |
| Q38991981 | Building ProteomeTools based on a complete synthetic human proteome |
| Q33370900 | Building consensus spectral libraries for peptide identification in proteomics |
| Q37160902 | Combining results of multiple search engines in proteomics |
| Q24797455 | Comprehensive de novo structure prediction in a systems-biology context for the archaea Halobacterium sp. NRC-1 |
| Q34594396 | Controlled vocabularies and ontologies in proteomics: overview, principles and practice |
| Q33337481 | Correlation of mRNA and protein levels: cell type-specific gene expression of cluster designation antigens in the prostate |
| Q33315747 | Data analysis and bioinformatics tools for tandem mass spectrometry in proteomics |
| Q27010370 | Data standards for Omics data: the basis of data sharing and reuse |
| Q24803717 | Design and implementation of microarray gene expression markup language (MAGE-ML) |
| Q33273391 | Development and validation of a spectral library searching method for peptide identification from MS/MS. |
| Q28645794 | Development of data representation standards by the human proteome organization proteomics standards initiative |
| Q36562145 | Development of the Minimum Information Specification for In Situ Hybridization and Immunohistochemistry Experiments (MISFISHIE). |
| Q34383763 | Discovering and linking public omics data sets using the Omics Discovery Index. |
| Q28652285 | Enabling BioSharing - a report on the Annual Spring Workshop of the HUPO-PSI April 11-13, 2011, EMBL-Heidelberg, Germany |
| Q58034922 | Erratum: Corrigendum: A HUPO test sample study reveals common problems in mass spectrometry–based proteomics |
| Q57058318 | Expanding the use of spectral libraries in proteomics |
| Q57338685 | Fast and simple comparison of semi-structured data, with emphasis on electronic health records |
| Q36455695 | File Formats Commonly Used in Mass Spectrometry Proteomics |
| Q28251402 | Five years of progress in the Standardization of Proteomics Data 4th Annual Spring Workshop of the HUPO-Proteomics Standards Initiative April 23-25, 2007 Ecole Nationale Supérieure (ENS), Lyon, France |
| Q63352006 | Flexible and Fast Mapping of Peptides to a Proteome with ProteoMapper |
| Q42634358 | From proteomics data representation to public data flow: a report on the HUPO-PSI workshop September 2011, Geneva, Switzerland |
| Q22065753 | Genome sequence of Haloarcula marismortui: a halophilic archaeon from the Dead Sea |
| Q55050369 | Guidelines for reporting the use of mass spectrometry in proteomics. |
| Q37098764 | Halobacterium salinarum NRC-1 PeptideAtlas: toward strategies for targeted proteomics and improved proteome coverage |
| Q37456744 | Highlights of the Biology and Disease-driven Human Proteome Project, 2015-2016. |
| Q40401353 | Human Plasma PeptideAtlas |
| Q28267923 | Human Proteinpedia enables sharing of human protein data |
| Q31119582 | Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 2.1. |
| Q90625756 | Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0. |
| Q28468274 | Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome |
| Q34502547 | Hydra: a scalable proteomic search engine which utilizes the Hadoop distributed computing framework |
| Q56976320 | I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets |
| Q43632923 | Implementing data standards: a report on the HUPOPSI workshop September 2009, Toronto, Canada |
| Q38439924 | Improving mass and liquid chromatography based identification of proteins using bayesian scoring |
| Q24805791 | Integration with the human genome of peptide sequences obtained by high-throughput mass spectrometry |
| Q33482354 | MaRiMba: a software application for spectral library-based MRM transition list assembly |
| Q47147684 | Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework |
| Q90407557 | Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data |
| Q28846099 | Mass spectrometer output file format mzML |
| Q51261020 | Meeting new challenges: The 2014 HUPO-PSI/COSMOS Workshop: 13-15 April 2014, Frankfurt, Germany |
| Q130682307 | Meta-Analysis of Rice Phosphoproteomics Data to Understand Variation in Cell Signaling Across the Rice Pan-Genome |
| Q34393909 | Metrics for the Human Proteome Project 2013-2014 and strategies for finding missing proteins |
| Q34484117 | Metrics for the Human Proteome Project 2015: Progress on the Human Proteome and Guidelines for High-Confidence Protein Identification |
| Q37456757 | Metrics for the Human Proteome Project 2016: Progress on Identifying and Characterizing the Human Proteome, Including Post-Translational Modifications |
| Q35180619 | Mining PeptideAtlas for biomarkers and therapeutics in human disease |
| Q30787624 | Numerical compression schemes for proteomics mass spectrometry data |
| Q57000481 | Omics Discovery Index - Discovering and Linking Public Omics Datasets |
| Q56881824 | Optical Identification of the X-Ray Burster X1746−370 in the Globular Cluster NGC 6441 |
| Q34154235 | PASSEL: The PeptideAtlas SRMexperiment library |
| Q91763889 | PTMProphet: Fast and Accurate Mass Modification Localization for the Trans-Proteomic Pipeline |
| Q36638849 | PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows |
| Q26779516 | Predictive Big Data Analytics: A Study of Parkinson's Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations |
| Q44536175 | Preparing to work with big data in proteomics - a report on the HUPO-PSI Spring Workshop: April 15-17, 2013, Liverpool, UK. |
| Q28652804 | Processing shotgun proteomics data on the Amazon cloud with the trans-proteomic pipeline |
| Q112696052 | Profiling the Human Phosphoproteome to Estimate the True Extent of Protein Phosphorylation |
| Q47346017 | Progress and Future Direction of Chromosome-Centric Human Proteome Project |
| Q37456751 | Progress in the Chromosome-Centric Human Proteome Project as Highlighted in the Annual Special Issue IV. |
| Q57267856 | Progress on Identifying and Characterizing the Human Proteome: 2018 Metrics from the HUPO Human Proteome Project |
| Q92726015 | Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project |
| Q38602346 | Progress on the HUPO Draft Human Proteome: 2017 Metrics of the Human Proteome Project. |
| Q29301289 | Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project |
| Q33482787 | Proteome-wide cellular protein concentrations of the human pathogen Leptospira interrogans |
| Q29614806 | ProteomeXchange provides globally coordinated proteomics data submission and dissemination |
| Q64109164 | Proteomics Standards Initiative Extended FASTA Format |
| Q112730126 | Proteomics Standards Initiative's ProForma 2.0: Unifying the Encoding of Proteoforms and Peptidoforms |
| Q57267859 | Recent Advances in the Chromosome-Centric Human Proteome Project: Missing Proteins in the Spot Light |
| Q30485191 | Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam Principles) |
| Q50995899 | Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam Principles). |
| Q50994907 | Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles). |
| Q53138110 | Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles). |
| Q57338689 | Reproducible big data science: A case study in continuous FAIRness |
| Q34333925 | Reproducible quantification of cancer-associated proteins in body fluids using targeted proteomics |
| Q33245905 | SBEAMS-Microarray: database software supporting genomic expression analyses for systems biology |
| Q33743175 | Spectra, Chromatograms, Metadata: mzML-The Standard Data Format for Mass Spectrometer Output |
| Q36584704 | State of the Human Proteome in 2014/2015 As Viewed through PeptideAtlas: Enhancing Accuracy and Coverage through the AtlasProphet |
| Q37632829 | State of the human proteome in 2013 as viewed through PeptideAtlas: comparing the kidney, urine, and plasma proteomes for the biology- and disease-driven Human Proteome Project |
| Q33743184 | Tandem Mass Spectrometry Spectral Libraries and Library Searching |
| Q36808448 | Targeted quantitative analysis of Streptococcus pyogenes virulence factors by multiple reaction monitoring |
| Q28660526 | Ten years of standardizing proteomic data: a report on the HUPO-PSI Spring Workshop: April 12-14th, 2012, San Diego, USA |
| Q55055789 | The Chromosome-Centric Human Proteome Project for cataloging proteins encoded in the genome. |
| Q30484056 | The Drosophila melanogaster PeptideAtlas facilitates the use of peptide data for improved fly proteomics and genome annotation |
| Q35122200 | The Equine PeptideAtlas: a resource for developing proteomics-based veterinary research |
| Q51177374 | The HUPO initiative on Model Organism Proteomes, iMOP. |
| Q28703948 | The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary |
| Q91343733 | The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases |
| Q47761810 | The Human Plasma Proteome Draft of 2017: Building on the Human Plasma PeptideAtlas from Mass Spectrometry and Complementary Assays |
| Q34792659 | The PeptideAtlas Project |
| Q25257813 | The PeptideAtlas project |
| Q28584437 | The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition |
| Q91107145 | The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics |
| Q38371542 | The Proteomics Standards Initiative: Fifteen Years of Progress and Future Work. |
| Q37591292 | The State of the Human Proteome in 2012 as Viewed through PeptideAtlas |
| Q41990341 | The SysteMHC Atlas project |
| Q51711697 | The human proteome project: Current state and future direction |
| Q28727227 | The mzIdentML data standard for mass spectrometry-based proteomics results |
| Q30491708 | The mzIdentML data standard version 1.2, supporting advances in proteome informatics. |
| Q47554097 | The proBAM and proBed standard formats: enabling a seamless integration of genomics and proteomics data |
| Q57324767 | The proBAM and proBed standard formats: enabling a seamless integration of genomics and proteomics data |
| Q57630474 | The structure of the inner eastern spiral arm of M83 |
| Q33309753 | The urologic epithelial stem cell database (UESC) - a web tool for cell type-specific gene expression and immunohistochemistry images of the prostate and bladder |
| Q37395945 | Tiered Human Integrated Sequence Search Databases for Shotgun Proteomics |
| Q59790575 | Toward Completion of the Human Proteome Parts List: Progress Uncovering Proteins That Are Missing or Have Unknown Function and Developing Analytical Methods |
| Q38479687 | TraML--a standard format for exchange of selected reaction monitoring transition lists |
| Q33524864 | Trans-Proteomic Pipeline supports and improves analysis of electron transfer dissociation data sets |
| Q28646890 | Trans-Proteomic Pipeline, a standardized data processing pipeline for large-scale reproducible proteomics informatics |
| Q114953382 | Universal Spectrum Identifier for mass spectra |
| Q35090832 | Using PeptideAtlas, SRMAtlas, and PASSEL: Comprehensive Resources for Discovery and Targeted Proteomics |
| Q43847961 | Using the Human Plasma PeptideAtlas to Study Human Plasma Proteins |
| Q33511201 | Visual proteomics of the human pathogen Leptospira interrogans |
| Q34005153 | iProphet: multi-level integrative analysis of shotgun proteomic data improves peptide and protein identification rates and error estimates |
| Q34038598 | jTraML: an open source Java API for TraML, the PSI standard for sharing SRM transitions |
| Q33539444 | mspecLINE: bridging knowledge of human disease with the proteome |
| Q28743778 | mzML--a community standard for mass spectrometry data |
| Q35792448 | reSpect: software for identification of high and low abundance ion species in chimeric tandem mass spectra |
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