Sökning: "computational biology"

Visar resultat 1 - 5 av 289 avhandlingar innehållade orden computational biology.

  1. 1. Computational Ecotoxicology

    Författare :Sergio Manzetti; David Van der Spoel; Janez Mavri; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; pollutants; simulation; molecular; dynamic; quantum; chemistry; Biology with specialization in Molecular Biotechnology; Biologi med inriktning mot molekylär bioteknik;

    Sammanfattning : Human society has progressed by polluting ecosystems since at least the early industrial revolution. Large amounts of harmful chemical compounds have been dispersed in soils, seas, ground waters and wildlife habitats by industrial and anthropomorphic activities over the last two centuries, leading to a persistent toxicological load on the environment. LÄS MER

  3. 2. microRNAs: from biogenesis to organismal tracing

    Författare :Wenjing Kang; Marc Friedländer; Jens Lagergren; Ulf Ørom; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; microRNA; microRNA biogenesis; taxonomical identification; high throughput sequencing; xenomiRs; RNA structure; high throughput screening; molekylär biovetenskap; Molecular Bioscience;

    Sammanfattning : MicroRNAs (miRNAs) are short noncoding RNAs of around 22 nucleotides in length, which help to shape the expression of most mRNAs. Perturbation of miRNA expression has revealed a variety of defects in development, cell specification, physiology and behavior. LÄS MER

  4. 3. Computational modelling in systems biology: from rewriting cell fates to detecting tumours

    Författare :Emil Andersson; Centrum för miljö- och klimatvetenskap (CEC); []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Beräkningsmodeller; Systembiologi; Genreguleringsnätverk; Cellomprogrammering; Energilandskap; iPSC; Agentbaserad modellering; T-cellsutveckling; Maskininlärning; Tumördiagnostik; Computational modelling; Systems biology; Gene regulatory network; Cell reprogramming; Energy landscape; iPSC; Agent-based modelling; Multi-scale modelling; T-cell development; Machine learning; Tumour diagnostics;

    Sammanfattning : Computational modelling is becoming an increasingly important tool in biological research. By performing computer simulations of models, it becomes possible to test theories about a biological system against experimental data. Simulations can also be used as a replacement for experiments otherwise unattainable. LÄS MER

  5. 4. 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

  7. 5. A multivariate approach to computational molecular biology

    Författare :Fredrik Pettersson; Michael Sjöström; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; PLS; PCA; biomarker; Drosophila; SNP; linkage; disequilibrium; bioinformatics; computational; molecular; biology; genomics; microarray; SELDI; proteomics; Bioinformatics; Bioinformatik;

    Sammanfattning : This thesis describes the application of multivariate methods in analyses of genomic DNA sequences, gene expression and protein synthesis, which represent each of the steps in the central dogma of biology. The recent finalisation of large sequencing projects has given us a definable core of genetic data and large-scale methods for the dynamic quantification of gene expression and protein synthesis. LÄS MER