Sökning: "Lars arvestad"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Lars arvestad.

  1. 1. Adapting to nature : some improvements on alignment algorithms in computational biology

    Författare :Lars Arvestad; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP;

    Sammanfattning : .... LÄS MER

  2. 2. Algorithms for biological sequence alignment

    Författare :Lars Arvestad; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP;

    Sammanfattning : .... LÄS MER

  3. 3. From genomes to post-processing of Bayesian inference of phylogeny

    Författare :Raja Hashim Ali; Lars Arvestad; Dannie Durand; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian inference; Computer Science; Datalogi;

    Sammanfattning : Life is extremely complex and amazingly diverse; it has taken billions of years of evolution to attain the level of complexity we observe in nature now and ranges from single-celled prokaryotes to multi-cellular human beings. With availability of molecular sequence data, algorithms inferring homology and gene families have emerged and similarity in gene content between two genes has been the major signal utilized for homology inference. LÄS MER

  4. 4. Bioinformatic Methods in Metagenomics

    Författare :Johannes Alneberg; Anders F. Andersson; Lars Arvestad; Nicola Segata; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Bioinformatics; Metagenomics; Microbiome; Binning; Baltic Sea; Bioinformatik; Metagenomik; Mikrobiom; Binning; Östersjön;

    Sammanfattning : Microbial organisms are a vital part of our global ecosystem. Yet, our knowledge of them is still lacking. Direct sequencing of microbial communities, i.e. LÄS MER

  5. 5. A holistic approach to understanding CAZy families through reductionist methods

    Författare :Jens Eklöf; Harry Brumer; Per-Åke Nygren; Lars Arvestad; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Carbohydrate esterase family 8; XET; PME; YbhC; Biochemistry; Biokemi;

    Sammanfattning :   In a time when the amount of biological data present in the public domain is becoming increasingly vast, the need for good classification systems has never been greater. In the field of glycoscience the necessity of a good classification for the enzymes involved in the biosynthesis, modification and degradation of polysaccharides is even more pronounced than in other fields. LÄS MER