Sökning: "genetic code"

Visar resultat 16 - 20 av 73 avhandlingar innehållade orden genetic code.

1. 16. Predictive Healthcare : Cervical Cancer Screening Risk Stratification and Genetic Disease Markers

   Författare :Nicholas Baltzer; Jan Komorowski; Mark Jit; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bioinformatics; Cervical Cancer; Screening; Computer Science; Algorithmics; Machine Learning; Genetics; SNPs; Rough Sets; Bioinformatics; Bioinformatik;

   Sammanfattning : The use of Machine Learning is rapidly expanding into previously uncharted waters. In the medicine fields there are vast troves of data available from hospitals, biobanks and registries that now are being explored due to the tremendous advancement in computer science and its related hardware. LÄS MER

3. 17. Genetic mechanisms behind cell specification in the Drosophila CNS

   Författare :Magnus Baumgardt; Stefan Thor; Angela Giangrande; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Drosophila melanogaster; nervous system development; cell specification; stem cells; cell proliferation; combinatorial coding; feedforward loop; Developmental biology; Utvecklingsbiologi;

   Sammanfattning : The human central nervous system (CNS) contains a daunting number of cells and tremendous cellular diversity. A fundamental challenge of developmental neurobiology is to address the questions of how so many different types of neurons and glia can be generated at the precise time and place, making precisely the right connections. LÄS MER

4. 18. Stretching the genetic code : incorporation of selenocysteine at specific UGA codons in recombinant proteins produced in Escherichia coli

   Författare :Olle Rengby; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :;

   Sammanfattning : Selenocysteine (Sec) exists in all domains of life and represents the 21st naturally occurring amino acid. A Sec residue is co-translationally incorporated at a predefined opal (UGA) codon. UGA codons normally encode for translational stop via the protein release factor 2 (RF2). LÄS MER

5. 19. Parallel algorithms and implementations for genetic analysis of quantitative traits

   Författare :Mahen Jayawardena; Sverker Holmgren; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Beräkningsvetenskap; Scientific Computing;

   Sammanfattning : Many important traits in plants, animals and humans are quantitative, and most such traits are generally believed to be regulated by multiple genetic loci. Standard computational tools for analysis of quantitative traits use linear regression models for relating the observed phenotypes to the genetic composition of individuals in a population. LÄS MER

7. 20. An e-Science Approach to Genetic Analysis of Quantitative Traits

   Författare :Mahen Jayawardena; Sverker Holmgren; Erwin Laure; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; QTL Analysis; Grid Computing; Global Optimization; e-Science; Beräkningsvetenskap; Scientific Computing;

   Sammanfattning : Many important traits in plants, animals and humans are quantitative, and most such traits are generally believed to be affected by multiple genetic loci. Standard computational tools for mapping of quantitative traits (i.e. LÄS MER