Numerical Genomics - Statistical and population genomics (Numgenomics)
New and on coming sequencing technology has dramatically altered how genomics research is carried out. Finally, true genomic (genome wide) approaches will be generalized to any species. Although bioinformatics tools will initially be limiting, we anticipate that it is equally - or more - important to develop appropriate statistical and population genetics methods that makes the most of the data. We are primarily working with this aim in mind. Although we are concerned with methods, we carry out also experimental work, mainly but not only, in livestock species. To that end, we are studying the footprint of domestication and artificial selection in the pig genome in cooperation with different international and national teams. A main topic of research has also been the identification of genes responsible for the variation in traits of socio economic interest, again both through the development of specialized methods and software as well as experimentally.
Main projects
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1.
Methods for quantitative and population genetics studies
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2.
Analysis of quantitative trait loci and genetic variability in pig (Sus scrofa)
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3.
Inference of demographic and selection history of pig populations worldwide
https://bioinformatics.cragenomica.es/numgenomics/page2/page2.html
Institutions
Bioinformatics expertise:
- Agrigenomics (5)
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Algorithmics (24)
- Algorithms, Computational Biology, Complexity and Formal Methods (UPC)
- Amalfi Analytics (Amalfi)
- Artificial Intelligence Research Institute (CSIC)
- Bigfinite Inc (Bigfinite)
- Biomedical Signal Processing and Interpretation (IBEC)
- Chemometrics for Environmental Omics (CSIC)
- Comparative Bioinformatics (CRG)
- Computational & Mathematical Biology (CRM)
- Computational Biology and Complex Systems Group (UPC)
- Computational continuum mechanics (UPC)
- Computational RNA Biology group of GRIB (UPF, IMIM)
- Computer Vision and Robotics Group (UdG)
- Control Engineering and Intelligent Systems (UdG)
- Data and Signal Processing Research Group (UVic-UCC)
- Distributed Computation Group (UdL)
- High Performance Computing Applications for Science and Engineering - Bioinformatics (UAB)
- IN2 Ingeniería de la Información (IN2)
- Laboratory of Relational Algorithmics, Complexity and Learnability (UPC)
- Laboratory of Systems Pharmacology and Bioinformatics (UAB)
- Modelling, Identification and Control Engineering (UdG)
- Numerical Genomics - Statistical and population genomics (CRAG)
- Research Group on Statistics, Econometrics and Health (UdG)
- Signal and Information Processing for Sensing Systems (IBEC)
- Soft Computing (UPC)
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Biostatistics (20)
- Bigfinite Inc (Bigfinite)
- Bioinformatics and Medical Statistics (UVic-UCC)
- Biomedical Signal Processing and Interpretation (IBEC)
- Biostatistics and Bioinformatics Research Group (UPC)
- Cancer genetics and epigenetics (IGTP)
- Chemometrics for Environmental Omics (CSIC)
- Clinical statistics and biodiversity (UB)
- Compositional and Spatial Data Analysis (UPC)
- Data and Signal Processing Research Group (UVic-UCC)
- Functional Genomics group of GRIB (UPF, IMIM)
- Genome Data Science (IRB Barcelona)
- IN2 Ingeniería de la Información (IN2)
- Mathematical Modeling of Metabolic Processes (UdL)
- Modelling, Identification and Control Engineering (UdG)
- Numerical Genomics - Statistical and population genomics (CRAG)
- Quantitative Psychology. Quantitative and Computational Neuroscience (UB)
- Research Group on Statistics, Econometrics and Health (UdG)
- Science and Engineering of Emerging Systems (URV)
- Sequentia Biotech (SeqBio)
- Statistics and Bioinformatics Unit (VHIR)
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Population Genetics (9)
- Bioinformatics of Genome Diversity (UAB)
- Compositional and Spatial Data Analysis (UPC)
- Disease Genomics (IGTP)
- Evolutionary and Functional Genomics Lab (UPF, CSIC)
- Evolutionary Genomics & Bioinformatics (UB)
- Human Genome Diversity Group (UPF, CSIC)
- Laboratory of Relational Algorithmics, Complexity and Learnability (UPC)
- Numerical Genomics - Statistical and population genomics (CRAG)
- Sequentia Biotech (SeqBio)