Search for dissertations about: "biological model"

Showing result 1 - 5 of 2023 swedish dissertations containing the words biological model.

  1. 1. Data Analysis and Next Generation Sequencing : Applications in Microbiology

    Author : Nicolas Innocenti; Erik Aurell; Mogens Jensen; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; RNA-seq; tagRNA-seq; primary and processed RNA; Enterococcus faecalis; Complex transcription; Metagenomics; 5 tagRACE; minimal absent words; compressed sensing; metagenomics; bacterial community reconstruction; Biologisk fysik; Biological Physics;

    Abstract : Next Generation Sequencing (NGS) is a new technology that has revolutionized the way we study living organisms. Where previously only a few genes could be studied at a time through targeted direct probing, NGS offers the possibility to perform measurements for a whole genome at once. READ MORE

  2. 2. The actinorhizal plant Datisca glomerata : interpreting its symbiotic adaptations by omics-based comparisons with model and non-model organisms

    Author : Marco Salgado; Katharina Pawlowski; Daniel Lundin; Rene Geurts; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Root nodule symbiosis; nitrogen fixation; actinorhizal; Datisca glomer-ata; Frankia; nodule development; defensin; antimicrobial; carboxylate transporter; phylogenomics; transcriptomics; Plant Physiology; växtfysiologi;

    Abstract : Nitrogen is the element that most often limits plant growth and development. Common agricultural practices rely on the application of large quantities of industrially-produced nitrogen fertilizer, which poses a worldwide environmental threat. Sustainable agriculture encourages the use of biologically fixed nitrogen. READ MORE

  3. 3. eScience Approaches to Model Selection and Assessment : Applications in Bioinformatics

    Author : Martin Eklund; Jarl Wikberg; Ron Wehrens; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; high-throughout biology; eScience; model selection; model assessment; Bioinformatics; Bioinformatik;

    Abstract : High-throughput experimental methods, such as DNA and protein microarrays, have become ubiquitous and indispensable tools in biology and biomedicine, and the number of high-throughput technologies is constantly increasing. They provide the power to measure thousands of properties of a biological system in a single experiment and have the potential to revolutionize our understanding of biology and medicine. READ MORE

  4. 4. Genomic and morphological diversity of marine planktonic diatom-diazotroph associations : a continuum of integration and diversification through geological time

    Author : Andrea Caputo; Rachel Ann Foster; Monika Quinones Winder; Ramon Massana; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; phytoplankton; diatoms; cyanobacteria; diazotrophs; symbiosis; evolution; phylogenetics; confocal microscopy; qPCR; CARD-FISH; tropics; sub-tropics; Marine Ecology; marin ekologi;

    Abstract : Symbioses between eukaryotes and nitrogen (N2)-fixing cyanobacteria (or diazotrophs) are quite common in the plankton community. A few genera of diatoms (Bacillariophyceae) such as Rhizosolenia, Hemiaulus and Chaetoceros are well known to form symbioses with the heterocystous diazotrophic cyanobacteria Richelia intracellularis and Calothrix rhizosoleniae. READ MORE

  5. 5. Protein Model Quality Assessment : A Machine Learning Approach

    Author : Karolis Uziela; Arne Elofsson; Liam McGuffin; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Protein Model Quality Assessment; structural bioinformatics; machine learning; deep learning; support vector machine; proq; Artificial Neural Network; protein structure prediction; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

    Abstract : Many protein structure prediction programs exist and they can efficiently generate a number of protein models of a varying quality. One of the problems is that it is difficult to know which model is the best one for a given target sequence. Selecting the best model is one of the major tasks of Model Quality Assessment Programs (MQAPs). READ MORE