Sökning: "regulatory motif"

Visar resultat 1 - 5 av 84 avhandlingar innehållade orden regulatory motif.

  1. 1. 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

  3. 2. Regulatory mechanisms of amino acid-induced signaling in Saccharomyces cerevisiae

    Författare :Deike J. Omnus; Per O. Ljungdahl; Claudio De Virgilio; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Signal transduction; regulatory mechanisms; nutrient sensing; Saccharomyces cerevisiae; Cell Biology; cellbiologi;

    Sammanfattning : This thesis describes studies aimed at elucidating the molecular mechanisms that regulate the SPS (Ssy1-Ptr3-Ssy5) signal transduction pathway in the yeast Saccharomyces cerevisiae. This pathway is induced by extracellular amino acids and facilitates their uptake. LÄS MER

  4. 3. Statistical and Functional Analysis of Genomic and Proteomic Data

    Författare :Yingchun Liu; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bioinformatik; biomathematics biometrics; unsupervised classification; Bioinformatics; medical informatics; TGF-beta; linear mixed model; expression data; dye bias; 2D-gel; signaling pathway; regulatory motif; microarray; medicinsk informatik; biomatematik;

    Sammanfattning : High-throughput technologies have led to an explosion in the availability of data at the genome scale. Such data provide important information about cellular processes and causes of human diseases, as well as for drug discovery. Deciphering the biologically relevant results from these data requires comprehensive analytical methods. LÄS MER

  5. 4. In silico modelling for refining gene regulatory network inference

    Författare :Thomas Hillerton; Erik L. L. Sonnhammer; Richard Bonneau; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Gene regulatory networks; simulation; benchmarking; method development; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

    Sammanfattning : Gene regulation is at the centre of all cellular functions, regulating the cell's healthy and pathological responses. The interconnected system of regulatory interactions is known as the gene regulatory network (GRN), where genes influence each other to maintain strict and robust control. LÄS MER

  7. 5. Elucidation of complex diseases by machine learning

    Författare :Karolina Smolinska Garbulowska; Jan Komorowski; Claes Wadelius; Tuuli Lappalainen; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; machine learning; complex disease; multi-omics; regulatory element; gene regulation; transcription factor motif; networks; rough sets; Bioinformatics; Bioinformatik;

    Sammanfattning : Uncovering the interpretability of models for complex health-related problems is a crucial task that is often neglected in machine learning (ML). The amount of available data makes the problem even more complicated. LÄS MER