Sökning: "Natural Sciences Biological Sciences Bioinformatics and Systems Biology"

Visar resultat 1 - 5 av 268 avhandlingar innehållade orden Natural Sciences Biological Sciences Bioinformatics and Systems Biology.

  1. 1. Evolutionary and Pharmacological Studies of NPY and QRFP Receptors

    Författare :Bo Xu; Dan Larhammar; Samuel Svensson; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Neuropeptide Y; genome duplication; Evolution; vertebrate; Pharmacology; Modelling; Kinetics; Bioinformatik; Bioinformatics; Biology with specialization in Evolutionary Genetics; Biologi med inriktning mot evolutionär genetik; Biologi med inriktning mot evolutionär funktionsgenomik; Biology with specialization in Evolutionary Functional Genomics; Farmaceutisk farmakologi; Pharmaceutical Pharmacology;

    Sammanfattning : The neuropeptide Y (NPY) system consists of 3-4 peptides and 4-7 receptors in vertebrates. It has powerful effects on appetite regulation and is involved in many other biological processes including blood pressure regulation, bone formation and anxiety. LÄS MER

  2. 2. Machine Learning Enabled Functional Discovery in Yeast Systems Biology

    Författare :Daniel Brunnsåker; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Metabolic Modelling; Mass Spectrometry; Metabolism; Metabolomics; Machine Learning; Systems Biology; Inductive Logic Programming; Proteomics;

    Sammanfattning : Saccharomyces cerevisiae is a well-studied organism, yet roughly 20 percent of its proteins remain poorly characterized. Recent studies also seem to indicate that the pace of functional discovery is slow. LÄS MER

  3. 3. Kinetic Models in Life Science — Contributions to Methods and Applications

    Författare :Joachim Almquist; Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC); []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NLME modeling; kinetic models; FOCE; Mig1; cell-to-cell variability; pharmacokinetics; parameter estimation; ticagrelor; atrial fibrillation; Kv1.5;

    Sammanfattning : Kinetic models in life science combine mathematics and biology to answer questions from areas such as cell biology, physiology, biotechnology, and drug development. The idea of kinetic models is to represent a biological system by a number of biochemical reactions together with mathematical expressions for the reaction kinetics, i.e. LÄS MER

  4. 4. On Transcriptome Sequencing

    Författare :Daniel Klevebring; Joakim Lundeberg; Ulf Gyllensten; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Transcriptome; RNA-seq; DNA sequencing; gene expression profiling; non-coding RNA; small RNA; Functional genomics; Funktionsgenomik; Bioinformatics; Bioinformatik; Genetics; Genetik; Molecular biology; Molekylärbiologi; Cell biology; Cellbiologi;

    Sammanfattning : This thesis is about the use of massive DNA sequencing to investigate the transcriptome. During recent decades, several studies have made it clear that the transcriptome comprises a more complex set of biochemical machinery than was previously believed. LÄS MER

  5. 5. Tumour evolution and novel biomarkers in breast cancer

    Författare :Jana Biermann; Göteborgs universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; breast cancer; gene signature; molecular biomarkers; tumour clonality; genomic instability; Swedish haemangioma cohort;

    Sammanfattning : Several gene signatures have been proposed in the past two decades to improve outcome prediction for breast cancer patients and to guide treatment decisions. Current treatment guidelines, however, primarily focus on established clinicopathological features. LÄS MER