Sökning: "bioinformatics software"
Visar resultat 1 - 5 av 69 avhandlingar innehållade orden bioinformatics software.
1. Genomic adaptation and gene-dosage regulation of Drosophila melanogaster cells, and long-read software developments
Sammanfattning : Cells are the vehicles that allows genetic code to proliferate in the world, taking on various forms – as illustrated by the tree of life. The cell features are determined by the manufacturing of proteins, a process that has its blueprints encoded as genes in the genome. LÄS MER
2. eScience Approaches to Model Selection and Assessment : Applications in Bioinformatics
Sammanfattning : High-throughput experimental methods, such as DNA and protein microarrays, have become ubiquitous and indispensable tools in biology and biomedicine, and the number of high-throughput technologies is constantly increasing. They provide the power to measure thousands of properties of a biological system in a single experiment and have the potential to revolutionize our understanding of biology and medicine. LÄS MER
3. Approaches for Distributing Large Scale Bioinformatic Analyses
Sammanfattning : Ever since high-throughput DNA sequencing became economically feasible, the amount of biological data has grown exponentially. This has been one of the biggest drivers in introducing high-performance computing (HPC) to the field of biology. LÄS MER
4. Computational analyses of biological sequences -applications to antibody-based proteomics and gene family characterization
Sammanfattning : Following the completion of the human genome sequence, post-genomic efforts have shifted the focus towards the analysis of the encoded proteome. Several different systematic proteomics approaches have emerged, for instance, antibody-based proteomics initiatives, where antibodies are used to functionally explore the human proteome. LÄS MER
5. Two Optimization Problems in Genetics : Multi-dimensional QTL Analysis and Haplotype Inference
Sammanfattning : The existence of new technologies, implemented in efficient platforms and workflows has made massive genotyping available to all fields of biology and medicine. Genetic analyses are no longer dominated by experimental work in laboratories, but rather the interpretation of the resulting data. LÄS MER