Sökning: "bioinformatics computational biology"
Visar resultat 1 - 5 av 97 avhandlingar innehållade orden bioinformatics computational biology.
1. A multivariate approach to computational molecular biology
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
2. Kinetic Models in Life Science — Contributions to Methods and Applications
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
3. Advancing Evolutionary Biology: Genomics, Bayesian Statistics, and Machine Learning
Sammanfattning : During the recent decades the field of evolutionary biology has entered the era of big data, which has transformed the field into an increasingly computational discipline. In this thesis I present novel computational method developments, including their application in empirical case studies. LÄS MER
4. Development of Computational Methods for Cancer Research: Strategies for closing the feedback loop in omics workflows
Sammanfattning : As the ultimate workhorses of the living things, proteins undergo significant regulatory activity throughout the lifetime of a cell or an organism. Many complex diseases effect the protein composition, expression or modification in the cells or tissues they arise in. LÄS MER
5. Large-scale simulation-based experiments with stochastic models using machine learning-assisted approaches : Applications in systems biology using Markov jump processes
Sammanfattning : Discrete and stochastic models in systems biology, such as biochemical reaction networks, can be modeled as Markov jump processes. The chemical master equation describes how the probability distribution of a biochemical system's states evolves. Unfortunately, solutions to the chemical master equation only exist for trivial problems. LÄS MER
