2019 - Fellow of the American Association for the Advancement of Science (AAAS)
Gary A. Churchill mainly focuses on Genetics, Quantitative trait locus, Inbred strain, Genetic diversity and Computational biology. Genetic marker, Allele, Genome, Genetic variation and Gene mapping are subfields of Genetics in which his conducts study. His Genetic marker research is multidisciplinary, incorporating perspectives in Genotyping, Resampling and Statistical model.
His Quantitative trait locus research incorporates themes from Hyperinsulinemia, Genomics, Expression quantitative trait loci, Family-based QTL mapping and Candidate gene. His Inbred strain research includes elements of Phenotype, Bone mineral, Bone density, Quantitative computed tomography and Internal medicine. His Computational biology research includes themes of Microarray analysis techniques and Gene expression profiling.
His primary areas of investigation include Genetics, Quantitative trait locus, Locus, Gene and Allele. His work in Inbred strain, Genome, Phenotype, Genetic variation and Genotype is related to Genetics. His Inbred strain study integrates concerns from other disciplines, such as Internal medicine and Genotyping.
His study focuses on the intersection of Quantitative trait locus and fields such as Family-based QTL mapping with connections in the field of Inclusive composite interval mapping. His Locus research is multidisciplinary, incorporating elements of Chromosome 4, Endocrinology and Genetic linkage. Genetic marker is closely connected to Gene mapping in his research, which is encompassed under the umbrella topic of Allele.
His main research concerns Genetics, Quantitative trait locus, Genetic variation, Computational biology and Gene. His Locus, Phenotype, Genome, Allele and Strain study are his primary interests in Genetics. The concepts of his Quantitative trait locus study are interwoven with issues in Pleiotropy and Genotyping, Association mapping, Single-nucleotide polymorphism, Genotype.
His Genotyping research integrates issues from Chromosome, Inbred strain and Haplotype. His work deals with themes such as Proteome, Genetic diversity, Epistasis, Genomics and Stem cell, which intersect with Genetic variation. His study in Computational biology is interdisciplinary in nature, drawing from both Single cell transcriptomics, Transcriptome, Proteomics, Human genetics and CpG site.
Genetics, Genetic variation, Quantitative trait locus, Genome and Allele are his primary areas of study. His study in Genetics focuses on Genetic drift, Single-nucleotide polymorphism, Gene, RNA and RNA editing. The Genetic variation study combines topics in areas such as Meiosis, Recombination, Homologous recombination, Genetic diversity and Locus.
His Quantitative trait locus study combines topics from a wide range of disciplines, such as Phenotype, Genomics, Microbial genetics, Association mapping and Computational biology. Gary A. Churchill focuses mostly in the field of Genome, narrowing it down to topics relating to Genotyping and, in certain cases, Inbred strain. His biological study spans a wide range of topics, including Epistasis, Pleiotropy and Reference genome.
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Empirical threshold values for quantitative trait mapping.
G A Churchill;R W Doerge.
R/qtl: QTL mapping in experimental crosses
Karl W. Broman;Hao Wu;Saunak Sen;Gary A. Churchill.
A Hidden Markov Model approach to variation among sites in rate of evolution.
Joseph Felsenstein;Gary A. Churchill.
Molecular Biology and Evolution (1996)
Optimizing parental selection for genetic linkage maps.
James A Anderson;G. A. Churchill;J. E. Autrique;S. D. Tanksley.
Analysis of Variance for Gene Expression Microarray Data
M K Kerr;M Martin;G A Churchill.
Journal of Computational Biology (2000)
Fundamentals of experimental design for cDNA microarrays.
Gary A. Churchill.
Nature Genetics (2002)
Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors
Jason I Herschkowitz;Karl Simin;Victor J Weigman;Igor Mikaelian.
Genome Biology (2007)
Permutation Tests for Multiple Loci Affecting a Quantitative Character
R. W. Doerge;G. A. Churchill.
Characterization of human embryonic stem cell lines by the International Stem Cell Initiative
Oluseun Adewumi;Behrouz Aflatoonian;Lars Ahrlund-Richter;Michal Amit.
Nature Biotechnology (2007)
Statistical tests for differential expression in cDNA microarray experiments
Xiangqin Cui;Gary A Churchill.
Genome Biology (2003)
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