Genetics, Quantitative trait locus, Gene mapping, Gene and Expression quantitative trait loci are his primary areas of study. His Genetics study frequently links to related topics such as Evolutionary biology. His Quantitative trait locus research incorporates themes from Genome, Genomics, Mass spectrometry, Computational biology and Family-based QTL mapping.
His research in Family-based QTL mapping focuses on subjects like Inclusive composite interval mapping, which are connected to Association mapping and Linear regression. He focuses mostly in the field of Gene mapping, narrowing it down to matters related to Locus and, in some cases, Backcrossing and Expectation–maximization algorithm. His research in Expression quantitative trait loci intersects with topics in Regulation of gene expression, Genome-wide association study, Genetic variation and Candidate gene.
Ritsert C. Jansen mostly deals with Genetics, Quantitative trait locus, Computational biology, Gene and Genomics. His studies in Genetic variation, Genome, Regulation of gene expression, Locus and Genome-wide association study are all subfields of Genetics research. His Quantitative trait locus research is multidisciplinary, incorporating perspectives in Epistasis, Expression quantitative trait loci, Family-based QTL mapping, Gene mapping and Candidate gene.
His work is dedicated to discovering how Family-based QTL mapping, Inclusive composite interval mapping are connected with Linear regression and other disciplines. His Computational biology research includes elements of Phenotype, Data science and Genetical genomics. His Genomics research includes themes of DNA microarray, Proteomics and Gene expression profiling.
His primary scientific interests are in Genetics, Quantitative trait locus, Expression quantitative trait loci, Computational biology and Genomics. Many of his studies on Genetics involve topics that are commonly interrelated, such as XML. His research investigates the link between Quantitative trait locus and topics such as Genome that cross with problems in Data mining, Evolutionary biology and Caenorhabditis elegans.
His work carried out in the field of Expression quantitative trait loci brings together such families of science as Genome-wide association study and Gene expression. His studies deal with areas such as Deep sequencing, Selection, Functional genomics and Gene family as well as Computational biology. Ritsert C. Jansen has included themes like Genotyping and Genotype in his Genomics study.
Ritsert C. Jansen spends much of his time researching Genetics, Quantitative trait locus, Expression quantitative trait loci, Regulation of gene expression and DNA methylation. In his papers, Ritsert C. Jansen integrates diverse fields, such as Genetics and Context. The study incorporates disciplines such as Quantitative genetics, Genome-wide association study, Systems biology and Genomics in addition to Quantitative trait locus.
The various areas that Ritsert C. Jansen examines in his Expression quantitative trait loci study include Molecular genetics, Gene dosage, Gene mapping and Gene expression profiling. His Regulation of gene expression research is multidisciplinary, relying on both H3K4me3, Epigenomics, Histone H2A and EZH2. His DNA methylation research is multidisciplinary, incorporating elements of Genome, Epigenetics, Population genetics and Heritability.
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Systematic identification of trans eQTLs as putative drivers of known disease associations
Harm-Jan Westra;Marjolein J Peters;Tõnu Esko;Hanieh Yaghootkar.
Nature Genetics (2013)
High Resolution of Quantitative Traits Into Multiple Loci via Interval Mapping
Ritsert C. Jansen;Piet Stam.
Genetics (1994)
Genetical genomics: The added value from segregation
Ritsert C. Jansen;Jan-Peter Nap.
Trends in Genetics (2001)
Interval mapping of multiple quantitative trait loci
Ritsert C. Jansen.
Genetics (1993)
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)
Identification of the SAAT Gene Involved in Strawberry Flavor Biogenesis by Use of DNA Microarrays
Asaph Aharoni;Leopold C. P. Keizer;Harro J. Bouwmeester;Zhongkui Sun.
The Plant Cell (2000)
MapQTL 4.0: Software for the calculation of QTL positions on genetic maps (user manual)
J.W. van Ooijen;M.P. Boer;R.C. Jansen;C.A. Maliepaard.
(2000)
The genetics of plant metabolism
J. J. B. Keurentjes;J. Y. Fu;C. H. R. de Vos;A. Lommen.
Nature Genetics (2006)
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)
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