Sökning: "DNA sequence data"

Visar resultat 1 - 5 av 208 avhandlingar innehållade orden DNA sequence data.

1. 1. Deciphering sequence data : A multivariate approach

   Författare :Maria Sandberg Hiltunen; Michael Sjöström; Svante Wold; Lars Ståhle; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Principal properties; amino acids; nucleotides; tRNA; DNA; multivariate data analysis; sequence analysis; QSAR; quantitative sequence activity relationships;

   Sammanfattning : In this thesis, attention has been focused on the quantitative description of nucleic acids, proteins and peptides. The strategy was to use multivariate chemometrical methods for improving the understanding of the complex structural codes of these kinds of biological molecules. LÄS MER

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

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

   Sammanfattning : 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. LÄS MER

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

   Författare :Kristiina Ausmees; Carl Nettelblad; Mattias Jakobsson; Flora Jay; Uppsala universitet; []
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

5. 4. Hidden patterns that matter : statistical methods for analysis of DNA and RNA data

   Författare :Therese Kellgren; Patrik Rydén; Sara Sjöstedt de Luna; Rebecka Jörnsten; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Genome; Next-generation sequence; statistics; microarrays; bacteria; antibiotic resistance; inherited diseases; Co-expression networks; centralization within subgroups;

   Sammanfattning : Understanding how the genetic variations can affect characteristics and function of organisms can help researchers and medical doctors to detect genetic alterations that cause disease and reveal genes that causes antibiotic resistance. The opportunities and progress associated with such data come however with challenges related to statistical analysis. LÄS MER

7. 5. Analysis of large-scale metagenomic data

   Författare :Fredrik Boulund; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; metagenomics; DNA analysis; big data; antibiotic resistance; hidden Markov models; high-performance computing; distributed computing; distributed computing;

   Sammanfattning : The topic of this thesis is the analysis of large data sets of DNA sequence data produced from modern high-throughput DNA sequencing machines. Using such machines to sequence the genetic content of a microbial community produces a metagenome. This thesis comprises three research papers, all connected to the study of large metagenomic data sets. LÄS MER