Search for dissertations about: "Bioinformatics"

Showing result 16 - 20 of 405 swedish dissertations containing the word Bioinformatics.

  1. 16. Mapping the human proteome using bioinformatic methods

    Author : Linn Fagerberg; Mathias Uhlén; Alvis Brazma; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; proteome; transcriptome; bioinformatics; membrane protein prediction; subcellular localization; protein expression level; cell line; immunohistochemistry; immunofluorescence; Bioinformatics; Bioinformatik; SRA - Molekylär biovetenskap; SRA - Molecular Bioscience;

    Abstract : The fundamental goal of proteomics is to gain an understanding of the expression and function of the proteome on the level of individual proteins, on the level of defined cell types and on the level of the entire organism. In this thesis, the human proteome is explored using membrane protein topology prediction methods to define the human membrane proteome and by global protein expression profiling, which relies on a complex study of the location and expression levels of proteins in tissues and cells. READ MORE

  2. 17. From Physicochemical Features to Interdependency Networks : A Monte Carlo Approach to Modeling HIV-1 Resistome and Post-translational Modifications

    Author : Marcin Kierczak; Jan Komorowski; Anna Tramontano; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; HIV-1; resistome analysis; drug resistance; predicting PTMs; molecular interdependency networks; MCFS-ID; feature selection; interactome; machine-learning; rough sets; Bioinformatics; Bioinformatik; Computer Science; datavetenskap; Biology; with specialization in structural biology; biologi; med inriktning mot strukturbiologi;

    Abstract : The availability of new technologies supplied life scientists with large amounts of experimental data. The data sets are large not only in terms of the number of observations, but also in terms of the number of recorded features. READ MORE

  3. 18. Molecular methods for microbial ecology : Developments, applications and results

    Author : Lucas Sinclair; Alexander Eiler; Josh Neufeld; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; microbiology; metagenomics; ecology; metabolism; Bioinformatik; Bioinformatics;

    Abstract : Recent developments in DNA sequencing technology allow the study of microbial ecology at unmatched detail. To fully embrace this revolution, an important avenue of research is the development of bioinformatic tools that enable scientists to leverage and manipulate the exceedingly large amounts of data produced. READ MORE

  4. 19. Bioclipse : Integration of Data and Software in the Life Sciences

    Author : Ola Spjuth; Jarl Wikberg; Mark Wilkinsson; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Bioclipse; integration; life sciences; bioinformatics; cheminformatics; chemoinformatics; eclipse; rich client; xmpp; qsar-ml; web service; standard; ontology; Bioinformatics; Bioinformatik;

    Abstract : New high throughput experimental techniques have turned the life sciences into a data-intensive field. Scientists are faced with new types of problems, such as managing voluminous sources of information, integrating heterogeneous data, and applying the proper analysis algorithms; all to end up with reliable conclusions. READ MORE

  5. 20. Rule-based Models of Transcriptional Regulation and Complex Diseases : Applications and Development

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

    Abstract : 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. READ MORE