Sökning: "Integrative bioinformatics"

Visar resultat 1 - 5 av 21 avhandlingar innehållade orden Integrative bioinformatics.

  1. 1. Regulation of Gene Expression in Multiple Myeloma Cells and Normal Fibroblasts : Integrative Bioinformatic and Experimental Approaches

    Författare :Prasoon Agarwal; Helena Jernberg Wiklund; Håkan Axelson; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Multiple myeloma; Integrative bioinformatics; Epigenetics; CGGBP1; RNA polymerase; Oncology; Onkologi; Bioinformatik; Bioinformatics;

    Sammanfattning : The work presented in this thesis applies integrative genomic and experimental approaches to investigate mechanisms involved in regulation of gene expression in the context of disease and normal cell biology.In papers I and II, we have explored the role of epigenetic regulation of gene expression in multiple myeloma (MM). LÄS MER

  3. 2. Computational Modelling of Gene Regulation in Cancer : Coding the noncoding genome

    Författare :Husen Muhammad Umer; Jan Komorowski; Claes Wadelius; Jan Korbel; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Regulatory elements; gene regulation; cancer; motif; integrative database; software solutions for cancer data; Bioinformatics; Bioinformatik;

    Sammanfattning : Technological advancements have enabled quantification of processes within and around us. The information stored within our body converts into petabytes of data. Processing and learning from such data requires comprehensive computational programs and software systems. LÄS MER

  4. 3. 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

  5. 4. Mapping the proteome with data-driven methods: A cycle of measurement, modeling, hypothesis generation, and engineering

    Författare :Filip Buric; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; tensor factorization; mass spectrometry; model interpretation; sequence feature engineering; deep learning; proteomics; machine learning; data-independent acquisition; feature learning;

    Sammanfattning : The living cell exhibits emergence of complex behavior and its modeling requires a systemic, integrative approach if we are to thoroughly understand and harness it. The work in this thesis has had the more narrow aim of quantitatively characterizing and mapping the proteome using data-driven methods, as proteins perform most functional and structural roles within the cell. LÄS MER

  7. 5. Computing abundance constraints in Saccharomyces cerevisiae’s metabolism

    Författare :Benjamín José Sánchez; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Genome-scale modeling; lipidomics; proteomics; flux balance analysis;

    Sammanfattning : The unicellular eukaryotic organism Saccharomyces cerevisiae (budding yeast) is routinely used for production of high-value chemical compounds in the biotechnology industry. To improve production yields, it is fundamental to understand cellular metabolism, i.e. all biochemical reactions that occur inside the cell. LÄS MER