His primary areas of investigation include Proteomics, PeptideAtlas, Computational biology, Proteome and Bioinformatics. His studies in Proteomics integrate themes in fields like Data access and Peptide library. His PeptideAtlas research is multidisciplinary, relying on both Trans-Proteomic Pipeline, Data visualization, NeXtProt, Workflow and Mass spectrometry data format.
Eric W. Deutsch has researched Computational biology in several fields, including Genetics, Saccharomyces cerevisiae, Mass spectrometric, Mass spectrometry and Selected reaction monitoring. The various areas that Eric W. Deutsch examines in his Proteome study include Tandem mass spectrometry and Systems biology. His study in Bioinformatics is interdisciplinary in nature, drawing from both Information Dissemination, Human proteins, Data science and Human proteome project.
His primary areas of study are Proteomics, Computational biology, PeptideAtlas, Proteome and Astrophysics. Eric W. Deutsch interconnects Data science, Genomics, Bioinformatics and Mass spectrometry in the investigation of issues within Proteomics. His research integrates issues of Proteomics Standards Initiative, Field, Workflow and Big data in his study of Data science.
While the research belongs to areas of Computational biology, Eric W. Deutsch spends his time largely on the problem of Human proteome project, intersecting his research to questions surrounding Human proteins. The PeptideAtlas study combines topics in areas such as Human plasma and Human genome. His Proteome research incorporates elements of Molecular biology, Peptide sequence and Tandem mass spectrometry.
His scientific interests lie mostly in Proteomics, Computational biology, Human proteome project, Data science and Proteomics Standards Initiative. In the field of Proteomics, his study on NeXtProt overlaps with subjects such as Pipeline. His Computational biology research includes themes of PeptideAtlas, Proteome, Peptide sequence and Sequence database.
His PeptideAtlas research includes elements of False discovery rate and Phosphopeptide. His research on Human proteome project also deals with topics like
Eric W. Deutsch mainly investigates Proteomics, Human proteome project, Data science, Computational biology and Proteome. His work on PeptideAtlas as part of general Proteomics study is frequently linked to Pipeline, bridging the gap between disciplines. His research in Human proteome project focuses on subjects like Genomics, which are connected to World Wide Web and File format.
His Data science research integrates issues from Proteomics Standards Initiative, Precision medicine, Metadata, Workflow and Big data. His research in Computational biology intersects with topics in Normal tissue and CD8, Immune system, Antigen. The Proteome study which covers Data-independent acquisition that intersects with Biomarker discovery.
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ProteomeXchange provides globally coordinated proteomics data submission and dissemination
Juan A. Vizcaíno;Eric W Deutsch;Rui Wang;Attila Csordas.
Nature Biotechnology (2014)
A cross-platform toolkit for mass spectrometry and proteomics
Matthew C Chambers;Brendan Maclean;Robert Burke;Dario Amodei.
Nature Biotechnology (2012)
A common open representation of mass spectrometry data and its application to proteomics research
Patrick G A Pedrioli;Jimmy K Eng;Robert Hubley;Mathijs Vogelzang.
Nature Biotechnology (2004)
The PeptideAtlas project
Frank Desiere;Eric W. Deutsch;Nichole L. King;Alexey I. Nesvizhskii.
Nucleic Acids Research (2006)
A guided tour of the Trans‐Proteomic Pipeline
Eric W. Deutsch;Luis Mendoza;David Shteynberg;Terry Farrah.
The minimum information about a proteomics experiment (MIAPE)
Chris F. Taylor;Chris F. Taylor;Norman W. Paton;Norman W. Paton;Kathryn S. Lilley;Kathryn S. Lilley;Pierre Alain Binz;Pierre Alain Binz.
Nature Biotechnology (2007)
The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition
Eric W. Deutsch;Attila Csordas;Zhi Sun;Andrew Jarnuczak.
Nucleic Acids Research (2017)
mzML - a Community Standard for Mass Spectrometry Data
Lennart Martens;Matthew Chambers;Marc Sturm;Darren Kessner.
Molecular & Cellular Proteomics (2011)
Design and implementation of microarray gene expression markup language (MAGE-ML)
Paul T Spellman;Michael Miller;Jason Stewart;Charles Troup.
Genome Biology (2002)
Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project
Chris F. Taylor;Chris F. Taylor;Dawn Field;Susanna Assunta Sansone;Susanna Assunta Sansone;Jan Aerts.
Nature Biotechnology (2008)
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