1958 - Fellow of the American Academy of Arts and Sciences
1958 - Fellow of the American Association for the Advancement of Science (AAAS)
1933 - Fellow of the American Association for the Advancement of Science (AAAS)
Robert W. Williams mainly focuses on Genetics, Quantitative trait locus, Gene, Anatomy and Neuroscience. His works in Regulation of gene expression, Inbred strain, Gene mapping, Genetic architecture and Allele are all subjects of inquiry into Genetics. His Inbred strain research includes themes of Congenic, Strain, Anxiety, Single-nucleotide polymorphism and Haplotype.
His studies in Quantitative trait locus integrate themes in fields like Genetic variation, Phenotype, Locus, Computational biology and Candidate gene. His Anatomy research is multidisciplinary, incorporating perspectives in Horseradish peroxidase and Retinal. His Neuroscience research includes themes of Insulin sensitivity, Biochemistry and Energy expenditure.
His primary areas of study are Genetics, Quantitative trait locus, Gene, Candidate gene and Inbred strain. His is involved in several facets of Genetics study, as is seen by his studies on Phenotype, Locus, Gene expression, Genome and Genetic variation. His research integrates issues of Genetic analysis, Gene expression profiling, Genomics, Expression quantitative trait loci and Allele in his study of Quantitative trait locus.
Gene and Computational biology are frequently intertwined in his study. Many of his studies on Candidate gene apply to Genome-wide association study as well.
His scientific interests lie mostly in Genetics, Gene, Quantitative trait locus, Phenotype and Candidate gene. His Genetics research focuses on Locus, Genetic variation, Inbred strain, Allele and Regulation of gene expression. His research in Quantitative trait locus intersects with topics in Genotyping, Expression quantitative trait loci and Genome, Genomics.
The concepts of his Phenotype study are interwoven with issues in Genome-wide association study, Computational biology and Function. His Candidate gene research incorporates elements of Physiology and Heritability. Robert W. Williams combines subjects such as Endocrinology, Internal medicine and Cell biology with his study of Gene expression.
The scientist’s investigation covers issues in Genetics, Gene, Quantitative trait locus, Genetic variation and Genome-wide association study. His studies in Regulation of gene expression, Allele, Single-nucleotide polymorphism, Genotype and Inbred strain are all subfields of Genetics research. His research investigates the connection between Gene and topics such as Computational biology that intersect with issues in Proteomics and Metagenomics.
His Quantitative trait locus research is multidisciplinary, incorporating elements of Genome, Genotyping, Locus, Heritability and Candidate gene. The Genetic variation study combines topics in areas such as Weight gain, Risk of death, Disease and Calorie. His Genome-wide association study research integrates issues from Evolutionary biology, Model organism and Longevity.
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 Collaborative Cross, a community resource for the genetic analysis of complex traits
Gary A. Churchill;David C. Airey;Hooman Allayee;Joe M. Angel.
Nature Genetics (2004)
Computational identification of Drosophila microRNA genes
Eric C Lai;Pavel Tomancak;Robert W Williams;Gerald M Rubin.
Genome Biology (2003)
The control of neuron number.
Robert W. Williams;Karl Herrup.
Annual Review of Neuroscience (1988)
Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function
Elissa J Chesler;Lu Lu;Siming Shou;Yanhua Qu.
Nature Genetics (2005)
Interleukin 17-producing T helper cells and interleukin 17 orchestrate autoreactive germinal center development in autoimmune BXD2 mice.
Hui-Chen Hsu;PingAr Yang;John Wang;Qi Wu.
Nature Immunology (2008)
Mitonuclear protein imbalance as a conserved longevity mechanism
Riekelt H. Houtkooper;Laurent Mouchiroud;Dongryeol Ryu;Norman Moullan.
Nature (2013)
Common genetic variants influence human subcortical brain structures.
Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez.
Nature (2015)
The genome architecture of the collaborative cross mouse genetic reference population
Fuad A. Iraqi;Mustafa Mahajne;Yasser Salaymah;Hani Sandovski.
Genetics (2012)
Three-dimensional counting: An accurate and direct method to estimate numbers of cells in sectioned material
Robert W. Williams;Pasko Rakic.
The Journal of Comparative Neurology (1988)
The nature and identification of quantitative trait loci: a community's view.
Oduola Abiola;Joe M. Angel;Philip Avner;Alexander A. Bachmanov.
Nature Reviews Genetics (2003)
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