Elissa J. Chesler mostly deals with Genetics, Quantitative trait locus, Gene, Phenotype and Inbred strain. Her research in Gene mapping, Genetic variation, Allele, Allele frequency and Genome architecture are components of Genetics. Her Quantitative trait locus research is multidisciplinary, incorporating elements of Evolutionary biology, Expression quantitative trait loci, Computational biology and Genetic diversity.
Her study in Genetic diversity is interdisciplinary in nature, drawing from both Biotechnology and Inbreeding. Her Phenotype research includes themes of SNP, Gut flora, Phylogenetic tree, Strain and Haplotype. Elissa J. Chesler interconnects Electrophysiology, Regulation of gene expression, Nociceptor and Transcriptome in the investigation of issues within Inbred strain.
Elissa J. Chesler spends much of her time researching Genetics, Quantitative trait locus, Gene, Phenotype and Computational biology. Her is doing research in Genetic variation, Gene mapping, Inbred strain, Allele and Locus, both of which are found in Genetics. Elissa J. Chesler works mostly in the field of Genetic variation, limiting it down to topics relating to Genetic diversity and, in certain cases, Evolutionary biology.
Her research integrates issues of Genetic analysis, Expression quantitative trait loci, Regulation of gene expression and Candidate gene in her study of Quantitative trait locus. Her Phenotype research is multidisciplinary, relying on both Genome, Strain, Knockout mouse and Genotype. As a part of the same scientific family, Elissa J. Chesler mostly works in the field of Computational biology, focusing on Genomics and, on occasion, Disease, Model organism and Data science.
Elissa J. Chesler mainly investigates Genetics, Phenotype, Gene, Addiction and Quantitative trait locus. Her Genetics study frequently draws connections to other fields, such as Nicotine. Her Phenotype study incorporates themes from Survival analysis, Genetic diversity and Longevity.
Her research in Addiction intersects with topics in Preference and Genomics. Elissa J. Chesler works mostly in the field of Quantitative trait locus, limiting it down to topics relating to Behavioural genetics and, in certain cases, Pleiotropy, Parametric statistics and Genetic architecture, as a part of the same area of interest. She combines subjects such as Evolutionary biology, Inbred strain and Related gene with her study of Genetic variation.
Her main research concerns Phenotype, Genetics, Quantitative trait locus, Gene and Genetic analysis. Her studies deal with areas such as Virus, Knockout mouse, Integrative genomics and Comorbidity as well as Phenotype. As part of her studies on Genetics, Elissa J. Chesler often connects relevant areas like Perineuronal net.
Her Quantitative trait locus study combines topics in areas such as Chromosome 13, Chromosome 4, Preference and Sensory system. Her work on Allele and Locus is typically connected to Sleep monitoring as part of general Gene study, connecting several disciplines of science. Her Genetic analysis study also includes
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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)
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)
The genome architecture of the collaborative cross mouse genetic reference population
Fuad A. Iraqi;Mustafa Mahajne;Yasser Salaymah;Hani Sandovski.
The melanocortin-1 receptor gene mediates female-specific mechanisms of analgesia in mice and humans
Jeffrey S. Mogil;Sonya G. Wilson;Elissa J. Chesler;Andrew L. Rankin.
Proceedings of the National Academy of Sciences of the United States of America (2003)
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)
Uncovering regulatory pathways that affect hematopoietic stem cell function using 'genetical genomics'.
Leonid Bystrykh;Ellen Weersing;Bert Dontje;Sue Sutton.
Nature Genetics (2005)
Sex differences in thermal nociception and morphine antinociception in rodents depend on genotype
J.S. Mogil;E.J. Chesler;S.G. Wilson;J.M. Juraska.
Neuroscience & Biobehavioral Reviews (2000)
Genetic analysis of complex traits in the emerging Collaborative Cross
David L. Aylor;William Valdar;Wendy Foulds-Mathes;Ryan J. Buus.
Genome Research (2011)
High-Resolution Genetic Mapping Using the Mouse Diversity Outbred Population
Karen L. Svenson;Daniel M. Gatti;William Valdar;Catherine E. Welsh.
Identification and ranking of genetic and laboratory environment factors influencing a behavioral trait, thermal nociception, via computational analysis of a large data archive
Elissa J Chesler;Sonya G Wilson;William R Lariviere;Sandra L Rodriguez-Zas.
Neuroscience & Biobehavioral Reviews (2002)
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