Search for dissertations about: "DNA sequence analyses"

Showing result 1 - 5 of 92 swedish dissertations containing the words DNA sequence analyses.

  1. 1. Statistical modelling and analyses of DNA sequence data with applications to metagenomics

    Author : Mariana Buongermino Pereira; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; generalised hidden Markov models; gene abundance data; metagenomics; statistical modelling; bioinformatics; normalisation; DNA sequence data; bioinformatics;

    Abstract : Microorganisms are organised in complex communities and are ubiquitous in all ecosystems, including natural environments and inside the human gut. Metagenomics, which is the direct sequencing of DNA from a sample, enables studying the collective genomes of the organisms that are there present. READ MORE

  2. 2. Selector Technology : For Multiplex DNA Analysis

    Author : Fredrik Dahl; Mats Nilsson; Ulf Landegren; Ivo Glynne Gut; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Genetic engineering; DNA technology; Genteknik; Genetic engineering including functional genomics; Genteknik inkl. funktionsgenomik;

    Abstract : A majority of methods for identifying sequences in the human genome involve target sequence amplification through PCR. This work presents novel methods for amplifying circularized DNA and presents solutions for some major limitations of PCR. READ MORE

  3. 3. Methodology and Infrastructure for Statistical Computing in Genomics : Applications for Ancient DNA

    Author : Kristiina Ausmees; Carl Nettelblad; Mattias Jakobsson; Flora Jay; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; statistical computing; genotype imputation; ancient DNA; deep learning; dimensionality reduction; genetic clustering; distributed computing; Scientific Computing; Beräkningsvetenskap;

    Abstract : This thesis concerns the development and evaluation of computational methods for analysis of genetic data. A particular focus is on ancient DNA recovered from archaeological finds, the analysis of which has contributed to novel insights into human evolutionary and demographic history, while also introducing new challenges and the demand for specialized methods. READ MORE

  4. 4. Towards simulating fully charged protein-DNA systems in water : Zif268-DNA as a test case

    Author : Git Roxström; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Physics; Molecular Dynamics simulation; Zif268; zinc fingers; GROMOS; linkers; recognition sites; Fysik; Physics; Fysik; Physical Chemistry; fysikalisk kemi;

    Abstract : In this thesis, we develop a computing strategy to simulate fully charged protein-DNA systems with a general force field (GROMOS87). The ions neutralizing the phosphates (P-ions) are submitted to global symmetry constraints. A model exhibiting ionic-atmosphere effects on mobile P-ions was implemented via very weak restraint forces. READ MORE

  5. 5. DNA-Assisted Immunoassays for High-Performance Protein Analyses

    Author : Junhong Yan; Masood Kamali-Moghaddam; Ulf Landegren; Christer Wingren; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; proximity ligation assay; magnetic beads; conjugation; phosphorylation; affinity binder; protein complexes; recombinant binder; sensitivity; specificity; Biology with specialization in Molecular Biotechnology; Biologi med inriktning mot molekylär bioteknik;

    Abstract : Proteins play important roles in most cellular functions, such as, replication, transcription regulation, signal transduction, for catalyzing chemical reaction, etc. Technologies developed to identify proteins rely either on observing their own properties such as charge, size, mass to charge ratio or sequence composition; or on using affinity reagents that recognize specific protein targets. READ MORE