Sökning: "Carl Nettelblad"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden Carl Nettelblad.

  1. 1. Using Markov models and a stochastic Lipschitz condition for genetic analyses

    Författare :Carl Nettelblad; Sverker Holmgren; José M. Álvarez-Castro; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Beräkningsvetenskap; Scientific Computing;

    Sammanfattning : A proper understanding of biological processes requires an understanding of genetics and evolutionary mechanisms. The vast amounts of genetical information that can routinely be extracted with modern technology have so far not been accompanied by an equally extended understanding of the corresponding processes. LÄS MER

  2. 2. Two Optimization Problems in Genetics : Multi-dimensional QTL Analysis and Haplotype Inference

    Författare :Carl Nettelblad; Sverker Holmgren; José M. Álvarez-Castro; Jukka Corander; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quantitative trait loci; genome-wide association studies; hidden Markov models; numerical optimization; linkage analysis; haplotype inference; genotype imputation; high performance computing;

    Sammanfattning : The existence of new technologies, implemented in efficient platforms and workflows has made massive genotyping available to all fields of biology and medicine. Genetic analyses are no longer dominated by experimental work in laboratories, but rather the interpretation of the resulting data. LÄS MER

  3. 3. Towards a realistic hyperon reconstruction with PANDA at FAIR

    Författare :Adeel Akram; Karin Schönning; Michael Papenbrock; Carl Nettelblad; Marek Jacewicz; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Hyperon; Extended Target; Tracking; PANDA; FAIR; Physics with specialization in Nuclear Physics; Fysik med inriktning mot kärnfysik;

    Sammanfattning : The goal of the PANDA (anti-Proton ANnihilation at DArmstadt) experiment at FAIR (Facility for Anti-proton and Ion Research) is to study strong interactions in the confinement domain. In PANDA, a continuous beam of anti-protons () will impinge on a fixed hydrogen (p) target inside the High Energy Storage Ring (HESR), a feature intended to attain high interaction rates for various physics studies e. LÄS MER

  4. 4. Towards Realistic Hyperon Reconstruction in PANDA : From Tracking with Machine Learning to Interactions with Residual Gas

    Författare :Adeel Akram; Karin Schönning; Michael Papenbrock; Carl Nettelblad; Andreas Salzburger; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Hyperons; Clusterjet Target; Tracking; Graph Neural Networks; Deep Learning; Physics with specialization in Nuclear Physics; Fysik med inriktning mot kärnfysik;

    Sammanfattning : The PANDA (anti-Proton ANnihilation at DArmstadt) experiment at FAIR (Facility for Anti-proton and Ion Research) aims to study strong interactions in the confinement domain. In PANDA, a continuous beam of anti-protons will impinge on a fixed hydrogen target inside the High Energy Storage Ring (HESR), a feature intended to attain high interaction rates for various physics studies e. LÄS MER

  5. 5. Efficient computational methods for applications in genomics

    Författare :Kristiina Ausmees; Carl Nettelblad; Mattias Jakobsson; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Scientific Computing; Beräkningsvetenskap;

    Sammanfattning : During the last two decades, advances in molecular technology have facilitated the sequencing and analysis of ancient DNA recovered from archaeological finds, contributing to novel insights into human evolutionary history. As more ancient genetic information has become available, the need for specialized methods of analysis has also increased. LÄS MER