Search for dissertations about: "bioinformatics analysis"
Showing result 1 - 5 of 356 swedish dissertations containing the words bioinformatics analysis.
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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. Copy Number Analysis of Cancer
Abstract : By accurately describing cancer genomes, we may link genomic mutations to phenotypic effects and eventually treat cancer patients based on the molecular cause of their disease, rather than generalizing treatment based on cell morphology or tissue of origin.Alteration of DNA copy number is a driving mutational process in the formation and progression of cancer. READ MORE
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3. 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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4. Grid and High-Performance Computing for Applied Bioinformatics
Abstract : The beginning of the twenty-first century has been characterized by an explosion of biological information. The avalanche of data grows daily and arises as a consequence of advances in the fields of molecular biology and genomics and proteomics. READ MORE
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5. Pathway analysis: methods and perspectives
Abstract : The amount of data being generated by high throughput molecular biology experiments grows every day, both in quantity and quality. With this comes the desire to have more powerful and comprehensive methods for statistical analysis that have been developed with the nature of this data in mind. READ MORE