Sökning: "genomics data"

Visar resultat 1 - 5 av 154 avhandlingar innehållade orden genomics data.

1. 1. Integrating multi-omics for type 2 diabetes : Data science and big data towards personalized medicine

   Författare :Klev Diamanti; Jan Komorowski; Claes Wadelius; Manfred Grabherr; Peter Spégel; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; type 2 diabetes; multi-omics; genomics; metabolomics; data science; machine learning; personalized medicine; Bioinformatics; Bioinformatik;

   Sammanfattning : Type 2 diabetes (T2D) is a complex metabolic disease characterized by multi-tissue insulin resistance and failure of the pancreatic β-cells to secrete sufficient amounts of insulin. Cells recruit transcription factors (TF) to specific genomic loci to regulate gene expression that consequently affects the protein and metabolite abundancies. LÄS MER

3. 2. Embracing the data flood : integrating diverse data to improve phenotype association discovery in forest trees

   Författare :Bastian Schiffthaler; Nathaniel Street; Martin Rosvall; Nicolas Delhomme; Marek Mutwil; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Systems Biology; Association Discovery; Genomics; Transcriptomics; Genome Assembly; Gene Networks; Forest Tree; Aspen; Spruce; biology; biologi;

   Sammanfattning : Complex traits represent valuable research targets as many highly desirable properties of plants and animals (such as growth rate and height) fall into this group. However, associating biological markers with these traits is incredibly challenging, in part due to their small effect sizes. LÄS MER

4. 3. Normalization and analysis of high-dimensional genomics data

   Författare :Mattias Landfors; Patrik Rydén; Rebecka Jörnsten; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; normalization; pre-processing; microarray; downstream analysis; evaluation; sensitivity; bias; genomics data; gene expression; spike-in data; ChIP-chip; Mathematical Statistics; matematisk statistik;

   Sammanfattning : In the middle of the 1990’s the microarray technology was introduced. The technology allowed for genome wide analysis of gene expression in one experiment. Since its introduction similar high through-put methods have been developed in other fields of molecular biology. LÄS MER

5. 4. Image-based multi-omics data integration : Exploring whole-body PET/MRI, -omics data and body composition

   Författare :Robin Visvanathar; Håkan Ahlström; Joel Kullberg; Jan Eriksson; Katrine Riklund; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Body composition; Imiomics; genomics; metabolomics; MRI; PET; insulin sensitivity; T2D;

   Sammanfattning : Advanced body composition analysis with whole-body imaging could uncover novel associations between regional tissue composition and metabolic disease. Imiomics is an automated image analysis framework that enables large-scale integration of magnetic resonance imaging (MRI) data and orthogonal technologies such as metabolomics and genomics for the detailed study of body composition. LÄS MER

7. 5. Evolutionary genomics in Corvids : – From single nucleotides to structural variants

   Författare :Matthias H. Weissensteiner; Jochen B.W. Wolf; Manfred Grabherr; Kateryna M. Makova; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; evolutionary genetics; genomics; population genetics; selection; recombination; chromosomal features; colouration; insertion; deletion; inversion; crow; tandem repeat; transposable element; gene expression;

   Sammanfattning : Heritable genetic variation is the raw material of evolution and can occur in many different forms, from altering single nucleotides to rearranging stretches of millions at once. DNA mutations that result in phenotypic differences are the basis upon which natural selection can act, leading to a shift of the frequency of those mutations. LÄS MER