2000 - Fellow of the American Association for the Advancement of Science (AAAS)
His main research concerns Genomics, Bioinformatics, Resource, World Wide Web and Annotation. His Genomics study is concerned with the larger field of Genetics. His studies in Bioinformatics integrate themes in fields like Odds ratio, MEDLINE and Data science.
Rex L. Chisholm performs integrative Resource and Controlled vocabulary research in his work. His biological study spans a wide range of topics, including Genome project and Computational biology. His Proteome research is multidisciplinary, incorporating elements of Dictyostelium discoideum, Genome, Gene and Dictyostelium.
Rex L. Chisholm mainly focuses on Dictyostelium, Cell biology, Dictyostelium discoideum, Genetics and Gene. His Dictyostelium research integrates issues from Multicellular organism, Molecular biology, RNA interference, Slime mold and Cell type. His Cell biology study integrates concerns from other disciplines, such as Chemotaxis, Mutant and Cytoskeleton.
His research on Dictyostelium discoideum also deals with topics like
His primary areas of investigation include Biobank, Phenotype, Genomics, Gene and Computational biology. His Biobank research is multidisciplinary, incorporating perspectives in Personalized medicine and Whole genome sequencing. His Whole genome sequencing study is focused on Genetics in general.
His research integrates issues of Evolutionary biology, DNA sequencing and Bioinformatics in his study of Phenotype. His Genomics research is multidisciplinary, relying on both Genetic testing, Clinical decision support system, Decision support system and Data science. Rex L. Chisholm focuses mostly in the field of Computational biology, narrowing it down to topics relating to Genome and, in certain cases, Dictyostelium discoideum, Transcriptome, Proteome and Dictyostelium.
Precision medicine, World Wide Web, Resource, Ontology and Genomics are his primary areas of study. His Precision medicine research incorporates elements of Risk analysis, Pharmacogenomics and MEDLINE. His study in the field of Web page is also linked to topics like Unique identifier, Function, Filter and Focus.
Ontology is closely attributed to Annotation in his study. Rex L. Chisholm studied Genomics and Haplotype that intersect with Computational biology. His Computational biology research includes themes of Genome-wide association study, Biorepository, Genome, Genetic association and Genotype.
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.
The Gene Ontology (GO) database and informatics resource.
Harris Ma;Clark J;Ireland A;Lomax J.
Nucleic Acids Research (2004)
The Gene Ontology Resource: 20 years and still GOing strong
S. Carbon;E. Douglass;N. Dunn;B. Good.
Nucleic Acids Research (2019)
The genome of the social amoeba Dictyostelium discoideum
L. Eichinger;J. A. Pachebat;J. A. Pachebat;G. Glöckner;M.-A. Rajandream.
Nature (2005)
Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data
Joshua C. Denny;Lisa Bastarache;Marylyn D. Ritchie;Robert J. Carroll.
Nature Biotechnology (2013)
The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies.
Catherine A McCarty;Rex L Chisholm;Christopher G Chute;Iftikhar J Kullo.
BMC Medical Genomics (2011)
The Gene Ontology project in 2008
Midori A Harris;Jennifer I. Deegan;Amelia Ireland;Jane Lomax.
Nucleic Acids Research (2008)
The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future
Omri Gottesman;Helena Kuivaniemi;Gerard Tromp;W. Andrew Faucett.
Genetics in Medicine (2013)
Implementing genomic medicine in the clinic: the future is here.
Teri A. Manolio;Rex L Chisholm;Brad Ozenberger;Dan M. Roden.
Genetics in Medicine (2013)
Gene Ontology Consortium. The Gene Ontology (GO) database and informatics resource
Harris Ma;J. Clark;A. Ireland;J. Lomax.
(2004)
Electronic Medical Records for Genetic Research: Results of the eMERGE Consortium
Abel N. Kho;Jennifer A. Pacheco;Peggy L. Peissig;Luke Rasmussen.
Science Translational Medicine (2011)
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:
Swiss Institute of Bioinformatics
University of Pennsylvania
Vanderbilt University Medical Center
National Institutes of Health
National Institutes of Health
University of Washington
Johns Hopkins University
University of Minnesota
Case Western Reserve University
Hasso Plattner Institute
Chinese University of Hong Kong
Fujikura (Japan)
The Ohio State University
Lawrence Livermore National Laboratory
Harbin Medical University
University of Florida
University of Leeds
Southern University of Science and Technology
Columbia University Medical Center
National Institute of Water and Atmospheric Research
University of North Carolina at Chapel Hill
Newcastle University
University of Utah
City University of New York
University of Oxford
Max Planck Society