A5020462104- Agricultural safety and regulations
- Pesticide Residue Analysis and Safety
- Advanced Multi-Objective Optimization Algorithms
- Pesticide Exposure and Toxicity
- Effects and risks of endocrine disrupting chemicals
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Computational Drug Discovery Methods
- Carcinogens and Genotoxicity Assessment
- Nutritional Studies and Diet
- Plant Physiology and Cultivation Studies
- Simulation Techniques and Applications
- Genetic Mapping and Diversity in Plants and Animals
- Probabilistic and Robust Engineering Design
- Optimal Experimental Design Methods
- Berry genetics and cultivation research
- Genetics and Plant Breeding
- Neural Networks and Applications
- Horticultural and Viticultural Research
- Viral Infectious Diseases and Gene Expression in Insects
- Synthesis and Biological Evaluation
- Genetic and phenotypic traits in livestock
- Pesticide and Herbicide Environmental Studies
- Animal testing and alternatives
- Genetically Modified Organisms Research
National Institute for Public Health and the Environment
2024
Wageningen University & Research
2014-2024
Zimmer Biomet (Netherlands)
2021
Leiden University
2008-2012
Centre for Human Drug Research
2010
Self-organizing maps (SOMs) are popular tools for grouping and visualizing data in many areas of science. This paper describes recent changes package kohonen, implementing several different forms SOMs. These primarily focused on making the more useable large sets. Memory consumption has decreased dramatically, amongst others, by replacing old interface to underlying compiled code a new one relying Rcpp. The batch SOM algorithm training been added both sequential parallel forms. A final...
Quantitative trait loci (QTL) mapping approaches rely on the correct ordering of molecular markers along chromosomes, which can be obtained from genetic linkage maps or a reference genome sequence. For apple (Malus domestica Borkh), sequence v1 and v2 could not meet this need; therefore, novel approach was devised to develop dense map, providing most reliable marker-loci order for highest possible number markers. The based four strategies: (i) use multiple full-sib families, (ii) reduction...
High-quality genotypic data is a requirement for many genetic analyses. For any crop, errors in genotype calls, phasing of markers, linkage maps, pedigree records, and unnoticed variation ploidy levels can lead to spurious marker-locus-trait associations incorrect origin assignment alleles individuals. High-throughput genotyping requires automated scoring, as manual inspection thousands scored loci too time-consuming. However, SNP scoring result that should be corrected ensure recorded are...
In the study of large outbred pedigrees with many founders, individual bi-allelic markers, such as SNP carry little information. After phasing marker genotypes, multi-allelic loci consisting groups closely linked markers can be identified, which are called "haploblocks". Here, we describe PediHaplotyper, an R package capable assigning consistent alleles to haploblocks, allowing for missing and incorrect data. These haploblock genotypes much easier interpret by human investigator than...
A model and data toolbox is presented to assess risks from combined exposure multiple chemicals using probabilistic methods. The Monte Carlo Risk Assessment (MCRA) toolbox, also known as the EuroMix has more than 40 modules addressing all areas of risk assessment, includes a repository with collected in project. This paper gives an introduction illustrates its use examples can be used for hazard identification, characterisation, assessment characterisation. Examples identification are...
The adverse outcome pathway (AOP) is a conceptual construct that facilitates organisation and interpretation of mechanistic data representing multiple biological levels deriving from range methodological approaches including
EFSA's aim by 2030, is that the Agency and its partners will be equipped for routine implementation of human health risk assessment to multiple chemicals, across domains activity. To facilitate this effort, a roadmap action has been developed mapping methods, data tools are currently available mixture identifying current scientific gaps including challenges blockers. The results shows extensive dietary pesticides, but several still exist non-dietary exposure pesticides. For food additives...
A novel multiobjective evolutionary algorithm (MOEA) for de novo design was developed and applied to the discovery of new adenosine receptor antagonists. This method consists several iterative cycles structure generation, evaluation, selection. We an (the so-called Molecule Commander) generate candidate A1 antagonists, which were evaluated against multiple criteria objectives consisting high (predicted) affinity selectivity receptor, together with good ADMET properties. pharmacophore model...
In the context of second framework partnership agreement between National Institute for Public Health and Environment Netherlands (RIVM) European Food Safety Authority (EFSA)acute cumulative dietary exposure assessments were performed two assessment groups (CAGs) pesticidesthat affect nervous system: pesticides associated with brain and/or erythrocyte AChE inhibition (CAG-NAN, 47 pesticides) functional alterations motor division (CAG-NAM, 100 pesticides). The used pesticide monitoring data...
In the context of second framework partnership agreement between National Institute for Public Health and Environment Netherlands (RIVM) European Food Safety Authority (EFSA) chronic cumulative exposure assessments were performed two assessment groups (CAGs) pesticides that affect thyroid: associated with hypertrophy, hyperplasia neoplasia C-cells (TCP, 18 active substances) pesticide hypothyroidism (TCF, 124 substances).The used monitoring data collected by Member States under their...
There exist several applications of multi-objective evolutionary algorithms for drug design, however, a common drawback in recent approaches is that the diversity resulting molecule populations relatively low. This paper seeks to overcome this problem by introducing niching as technique enhance search space diversity. A single population approach with dynamic niche identification studied application domain. In order apply molecular spaces metric measuring dissimilarity molecules will be...
This paper presents a study for using Kriging metamodeling in combination with Covariance Matrix Adaptation Evolution Strategies (CMA-ES) to find robust solutions. A general, archive based, framework is proposed integrating within CMA-ES, including method utilize the covariance matrix of CMA-ES straightforward way improve accuracy predictions without introducing much additional computational cost. Moreover, it adopts an elegant select appropriate points building local metamodel. The shows...
Abstract High-quality genotypic data is a requirement for many genetic analyses. For any crop, errors in genotype calls, phasing of markers, linkage maps, pedigree records, and unnoticed variation ploidy levels can lead to spurious marker-locus-trait associations incorrect origin assignment alleles individuals. High-throughput genotyping requires automated scoring, as manual inspection thousands scored loci too time-consuming. However, SNP scoring result that should be corrected ensure...