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Found 3 swedish dissertations matching the above criteria.

2. 1. Detecting Signatures of Selection within the Dog Genome

   Author : Abhirami Ratnakumar; Matthew Webster; Kerstin Lindblad-Toh; Greg Barsh; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; dog; evolution; domestication; PRDM9; recombination; positive selection; selective sweep;

   Abstract : Deciphering the genetic basis of phenotypic diversity is one of the central aims of biological research. Domestic animals provide a unique opportunity for making substantial progress towards this goal. READ MORE

4. 2. Meiotic Recombination in Human and Dog : Targets, Consequences and Implications for Genome Evolution

   Author : Jonas Berglund; Matthew Webster; Kerstin Lindblad-Toh; Leif Andersson; Nadia Singh; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; recombination; biased gene conversion; CpG island; copy number variation; substitutions; methylation; Bioinformatics; Bioinformatik; Biology with specialization in Evolutionary Genetics; Biologi med inriktning mot evolutionär genetik; Biologi med inriktning mot molekylär evolution; Biology with specialization in Molecular Evolution; Molekylär genetik; Molecular Genetics;

   Abstract : Understanding the mechanism of recombination has important implications for genome evolution and genomic variability. The work presented in this thesis studies the properties of recombination by investigating the effects it has on genome evolution in humans and dogs. READ MORE

5. 3. Probabilistic Modelling of Domain and Gene Evolution

   Author : Sayyed Auwn Muhammad; Jens Lagergren; Bastien Boussau; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Phylogenetics; Phylogenomics; Evolution; Domain Evolution; Gene tree; Domain tree; Bayesian Inference; Markov Chain Monte Carlo; Homology Inference; Gene families; C2H2 Zinc-Finger; Reelin Protein; Computer Science; Datalogi;

   Abstract : Phylogenetic inference relies heavily on statistical models that have been extended and refined over the past years into complex hierarchical models to capture the intricacies of evolutionary processes. The wealth of information in the form of fully sequenced genomes has led to the development of methods that are used to reconstruct the gene and species evolutionary histories in greater and more accurate detail. READ MORE