His primary scientific interests are in Proteomics, Bioinformatics, Cell biology, Proteome and Tandem mass spectrometry. His work deals with themes such as Systems biology, Repeatability, Orbitrap, Phosphorylation and Reproducibility, which intersect with Proteomics. His research in Bioinformatics intersects with topics in Blood proteins, Disease, Extracellular matrix, In silico and Computational biology.
His research integrates issues of Binding domain, Cell growth and PLK1 in his study of Cell biology. Karl R. Clauser combines subjects such as Rheumatoid arthritis, Biomarker discovery, Selected reaction monitoring, Chromatography liquid and Protein mass spectrometry with his study of Proteome. His work carried out in the field of Tandem mass spectrometry brings together such families of science as Human leukocyte antigen, Allele, Epitope, Subdominant and Antigen presentation.
Proteomics, Computational biology, Proteome, Cancer research and Extracellular matrix are his primary areas of study. His Proteomics research incorporates elements of Proteogenomics, Tandem mass spectrometry, Mass spectrometry, Bioinformatics and Phosphoproteomics. In his study, Untranslated region is inextricably linked to Cancer, which falls within the broad field of Bioinformatics.
His study in Computational biology is interdisciplinary in nature, drawing from both Epitope, Open reading frame, Disease and Gene expression profiling. His Proteome research is multidisciplinary, relying on both Isobaric labeling, Sequence database, Chromatography, Reproducibility and Biomarker discovery. Karl R. Clauser works mostly in the field of Cancer research, limiting it down to topics relating to Breast cancer and, in certain cases, Carcinogenesis.
His scientific interests lie mostly in Proteomics, Computational biology, Cancer research, Proteogenomics and Proteome. His studies deal with areas such as Tumor microenvironment, Breast cancer, Serous fluid and Mass spectrometry as well as Proteomics. The Computational biology study combines topics in areas such as Epitope, Open reading frame, Tissue distribution and Normal tissue.
His Cancer research study combines topics from a wide range of disciplines, such as Druggability, Extracellular matrix, Targeted therapy and Histone. His Proteogenomics research is multidisciplinary, incorporating elements of Cancer and Phosphoproteomics. His Proteome research includes themes of Cell type, Chromatography, Tandem mass tag, Kinase and Peptide.
His primary scientific interests are in Proteomics, Cancer research, Proteome, Computational biology and Proteogenomics. His work is dedicated to discovering how Proteomics, Extracellular matrix are connected with Pancreas, Normal tissue and Tissue distribution and other disciplines. The study incorporates disciplines such as Chromatography, Posttranslational modification, Tandem mass tag, Kinase and Peptide in addition to Proteome.
His study in the field of Liquid chromatography–mass spectrometry, Reproducibility and Mass spectrometry is also linked to topics like Workflow. His Computational biology research includes elements of Tumor microenvironment, Transcriptome and Drug or chemical Tissue Distribution. The various areas that Karl R. Clauser examines in his Proteogenomics study include Cancer, Wnt signaling pathway, Serous fluid, Druggability and Phosphoproteomics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Role of Accurate Mass Measurement (±10 ppm) in Protein Identification Strategies Employing MS or MS/MS and Database Searching
Karl R. Clauser;Peter Baker;Alma L. Burlingame.
Analytical Chemistry (1999)
Dimerization of the extracellular domain of the human growth hormone receptor by a single hormone molecule
BC Cunningham;M Ultsch;AM De Vos;MG Mulkerrin.
MitoCarta2.0: an updated inventory of mammalian mitochondrial proteins.
Sarah E. Calvo;Sarah E. Calvo;Karl R. Clauser;Vamsi K. Mootha;Vamsi K. Mootha.
Nucleic Acids Research (2016)
Proteogenomics connects somatic mutations to signalling in breast cancer
Philipp Mertins;D. R. Mani;Kelly V. Ruggles;Michael A. Gillette;Michael A. Gillette.
De Novo Peptide Sequencing via Tandem Mass Spectrometry
Vlado Dančík;Theresa A. Addona;Karl R. Clauser;James E. Vath.
Journal of Computational Biology (1999)
The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
Alexandra Naba;Karl R. Clauser;Sebastian Hoersch;Sebastian Hoersch;Hui Liu.
Molecular & Cellular Proteomics (2012)
The Need for Guidelines in Publication of Peptide and Protein Identification Data Working Group On Publication Guidelines For Peptide And Protein Identification Data
Steven Carr;Ruedi Aebersold;Michael Baldwin;Al Burlingame.
Molecular & Cellular Proteomics (2004)
The extracellular matrix: Tools and insights for the "omics" era.
Alexandra Naba;Karl R. Clauser;Huiming Ding;Charles A. Whittaker.
Matrix Biology (2016)
Integrated proteomic analysis of post-translational modifications by serial enrichment
Philipp Mertins;Jana W Qiao;Jinal Patel;Namrata D Udeshi.
Nature Methods (2013)
Repeatability and Reproducibility in Proteomic Identifications by Liquid Chromatography−Tandem Mass Spectrometry
David L. Tabb;Lorenzo Vega-Montoto;Lorenzo Vega-Montoto;Paul A. Rudnick;Asokan Mulayath Variyath;Asokan Mulayath Variyath.
Journal of Proteome Research (2010)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: