Sökning: "Bioinformatics visualization"

Visar resultat 1 - 5 av 29 avhandlingar innehållade orden Bioinformatics visualization.

  1. 1. A Study in RNA Bioinformatics : Identification, Prediction and Analysis

    Författare :Eva Freyhult; David Ardell; Robert Giegerich; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; RNA; bioinformatics; secondary structure; structure prediction; dynamic programming; energy landscape; homology search; sequence logo; tRNA; Bioinformatics; Bioinformatik;

    Sammanfattning : 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. LÄS MER

  3. 2. Rule-based Models of Transcriptional Regulation and Complex Diseases : Applications and Development

    Författare :Susanne Bornelöv; Jan Komorowski; Claes Wadelius; Joanna Polanska; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Histone modification; Transcription factor; Transcriptional regulation; Next-generation sequencing; Feature selection; Machine learning; Rule-based classification; Asthma; Allergy; Bioinformatik; Bioinformatics;

    Sammanfattning : As we gain increased understanding of genetic disorders and gene regulation more focus has turned towards complex interactions. Combinations of genes or gene and environmental factors have been suggested to explain the missing heritability behind complex diseases. LÄS MER

  4. 3. 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

  5. 4. 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

  7. 5. Interpretation of variation in omics data : Applications in proteomics for sustainable agriculture

    Författare :Jakob Willforss; Institutionen för immunteknologi; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; agriculture; proteomics; omics; biomarker; normalization; batch effect; visualization; software;

    Sammanfattning : Biomarkers are used in molecular biology to predict characteristics of interest and are applied in agriculture to accelerate the breeding of target traits. Proteomics has emerged as a promising technology for improved markers by providing a closer view to the phenotype than conventional genome-based approaches. LÄS MER