Sökning: "Bioinformatics"

Visar resultat 6 - 10 av 636 avhandlingar innehållade ordet Bioinformatics.

  1. 6. Approaches for Distributing Large Scale Bioinformatic Analyses

    Författare :Martin Dahlö; Ola Spjuth; Hedi Peterson; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; cloud computing; HPC; high-performance computing; big data; kubernetes; spark; Bioinformatics; Bioinformatik;

    Sammanfattning : 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. LÄS MER

  3. 7. Patterns in big data bioinformatics : Understanding complex diseases with interpretable machine learning

    Författare :Mateusz Garbulowski; Jan Komorowski; Ryan J. Urbanowicz; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; complex diseases; big data; machine learning; transcriptomics; life sciences; rough sets; Bioinformatics; Bioinformatik;

    Sammanfattning : 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. LÄS MER

  4. 8. Computational analyses of biological sequences -applications to antibody-based proteomics and gene family characterization

    Författare :Mats Lindskog; Mathias Uhlén; Fredrik Sterky; Andersson Björn; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; antigen; antibodies; antibody-based proteomics; biocomputing; bioinformatics; Bioinformatics; Bioinformatik;

    Sammanfattning : 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. LÄS MER

  5. 9. Copy Number Analysis of Cancer

    Författare :Markus Mayrhofer; Anders Isaksson; Simon Tavaré; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; chromosomes; oncology; bioinformatics; Bioinformatik; Bioinformatics; Oncology; Onkologi; Clinical Genetics; Klinisk genetik;

    Sammanfattning : 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. LÄS MER

  7. 10. A multivariate approach to computational molecular biology

    Författare :Fredrik Pettersson; Michael Sjöström; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; PLS; PCA; biomarker; Drosophila; SNP; linkage; disequilibrium; bioinformatics; computational; molecular; biology; genomics; microarray; SELDI; proteomics; Bioinformatics; Bioinformatik;

    Sammanfattning : 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. LÄS MER