Sökning: "Homology Inference"
Visar resultat 1 - 5 av 7 avhandlingar innehållade orden Homology Inference.
Sammanfattning : 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. LÄS MER
- Detta är en avhandling från Stockholm : KTH Royal Institute of Technology
Sammanfattning : Life is extremely complex and amazingly diverse; it has taken billions of years of evolution to attain the level of complexity we observe in nature now and ranges from single-celled prokaryotes to multi-cellular human beings. With availability of molecular sequence data, algorithms inferring homology and gene families have emerged and similarity in gene content between two genes has been the major signal utilized for homology inference. LÄS MER
- Detta är en avhandling från Stockholm : Department of Biochemistry and Biophysics, Stockholm University
Sammanfattning : Lacking experimental data, protein function is often predicted from evolutionary and protein structure theory. Under the 'domain grammar' hypothesis the function of a protein follows from the domains it encodes. LÄS MER
- Detta är en avhandling från Stockholm : Karolinska Institutet, Center for Genomics Research
Sammanfattning : Several genomes from different species have been sequenced over the last years, most notably the human genome. An important task of computational biology is to classify and functionally annotate the large amount of sequence data created by the genome sequencing projects. LÄS MER
- Detta är en avhandling från Uppsala : Acta Universitatis Upsaliensis
Sammanfattning : Molecular evolutionary biology allows us to look into the past by analyzing sequences of amino acids or nucleotides. These analyses can be very complex, often involving advanced statistical models of sequence evolution to construct phylogenetic trees, study the patterns of natural selection and perform a number of other evolutionary studies. LÄS MER