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Showing result 6 - 10 of 635 swedish dissertations matching the above criteria.
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6. 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
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7. Patterns in big data bioinformatics : Understanding complex diseases with interpretable machine learning
Abstract : Alterations in the flow of genetic information may lead to complex diseases. Such changes are measured with various omics techniques that usually produce the so-called “big data”. Using interpretable machine learning (ML), we retrieved patterns from transcriptomics data sets. READ MORE
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8. Computational analyses of biological sequences -applications to antibody-based proteomics and gene family characterization
Abstract : 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. READ MORE
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9. 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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10. A multivariate approach to computational molecular biology
Abstract : This thesis describes the application of multivariate methods in analyses of genomic DNA sequences, gene expression and protein synthesis, which represent each of the steps in the central dogma of biology. The recent finalisation of large sequencing projects has given us a definable core of genetic data and large-scale methods for the dynamic quantification of gene expression and protein synthesis. READ MORE