Search for dissertations about: "bioinformatics tools"
Showing result 1 - 5 of 148 swedish dissertations containing the words bioinformatics tools.
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1. A Study in RNA Bioinformatics : Identification, Prediction and Analysis
Abstract : Research in the last few decades has revealed the great capacity of the RNA molecule. RNA, which previously was assumed to play a main role only as an intermediate in the translation of genes to proteins, is today known to play many important roles in the cell in addition to that as a messenger RNA and transfer RNA, including the ability to catalyze reactions and gene regulations at various levels. READ MORE
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2. A Bioinformatics Study of Human Transcriptional Regulation
Abstract : Regulation of transcription is a central mechanism in all living cells that now can be investigated with high-throughput technologies. Data produced from such experiments give new insights to how transcription factors (TFs) coordinate the gene transcription and thereby regulate the amounts of proteins produced. READ MORE
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3. Tools and pipelines for interpreting the impacts of genetic variants
Abstract : Next generation sequencing (NGS) methods have been widely used for diagnosis. As time and cost of sequencing has reduced sharply during the last decade, genome and exome-wide sequencing have increasingly been used. READ MORE
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4. eScience Approaches to Model Selection and Assessment : Applications in Bioinformatics
Abstract : 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. READ MORE
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5. Approaches for Distributing Large Scale Bioinformatic Analyses
Abstract : 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. READ MORE