Ritsert Jansen
University of Groningen, Groningen Bioinformatics Centre, Faculty Member
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Research Interests: Genetics, Polymorphism, Gene expression, Multidisciplinary, Arabidopsis thaliana, and 12 morePlant Genome Project, Case Study, Gene ontology, Arabidopsis, Regulatory Network, Genetic linkage analysis, Physical chromosome mapping, Variational Analysis, Natural Variation, Quantitative Trait Loci, Plant species, and Genetic Markers
... Bayesian inference using Gibbs Sampling, http://www.mrc-bsu.cam.ac.uk/bugs/welcome.shtml). ... Suitable multivariate mixed-model analyses are described in Refs 26, 27. ... because single plant crosses can produce large sibships, and... more
... Bayesian inference using Gibbs Sampling, http://www.mrc-bsu.cam.ac.uk/bugs/welcome.shtml). ... Suitable multivariate mixed-model analyses are described in Refs 26, 27. ... because single plant crosses can produce large sibships, and combining line-cross methods with pedigree ...
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Inheritance of resistance to beet necrotic yellow vein virus (BNYVV) was studied in segregating F2 and backcross families obtained from crosses between resistant plants of the sugar beet selection Holly-1-4 or the wild beet accession Beta... more
Inheritance of resistance to beet necrotic yellow vein virus (BNYVV) was studied in segregating F2 and backcross families obtained from crosses between resistant plants of the sugar beet selection Holly-1-4 or the wild beet accession Beta vulgaris subsp. maritima WB42 and susceptible parents. Greenhouse tests were carried out, in which seedlings were grown in a mixture of sand and infested soil. Virus concentrations of BNYVV in the rootlets were estimated by ELISA. To discriminate resistant and susceptible plants, mixtures of normal distributions were fitted to log10 virus concentrations, estimated for segregating F1, F2 and BC populations of both accessions. The hypothesis that Holly-1-4 contained one single dominant major gene was accepted. For WB42, results fitted with the hypotheses that resistance was based on either one (or more) dominant major gene(s) showing distorted segregation, or two complementary dominant genes, which are both required for resistance. Resistance from WB42 appeared to be more effective against BNYVV than resistance from Holly-1-4.
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Research Interests: Algorithms, Analytical Chemistry, Mass Spectrometry, Proteomics, Quantitative analysis, and 12 morePeptides, Proteins, Mixture models, Spectrum, Observer Variation, Mixture Model, Spectrum analysis, Reproducibility of Results, Biological markers, Quantitative Analysis, Simulation Model, and Biochemistry and cell biology
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Research Interests: Genetics, Genomics, Humans, Mice, Animals, and 3 moreRats, Quantitative Trait Loci, and PLoS Genetics
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The statistical analyses of populations of first-generation transgenic plants are commonly based on mean and variance and generally require a test of normality. Since in many cases the assumptions of normality are not met, analyses can... more
The statistical analyses of populations of first-generation transgenic plants are commonly based on mean and variance and generally require a test of normality. Since in many cases the assumptions of normality are not met, analyses can result in erroneous conclusions. Transformation of data to normality, the use of other distributions, or distribution-free statistical tests should then be used to obtain valid conclusions from these populations.
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The statistical analyses of populations of first-generation transgenic plants are commonly based on mean and variance and generally require a test of normality. Since in many cases the assumptions of normality are not met, analyses can... more
The statistical analyses of populations of first-generation transgenic plants are commonly based on mean and variance and generally require a test of normality. Since in many cases the assumptions of normality are not met, analyses can result in erroneous conclusions. Transformation of data to normality, the use of other distributions, or distribution-free statistical tests should then be used to obtain valid conclusions from these populations.