Search for dissertations about: "biology computing"
Showing result 1 - 5 of 33 swedish dissertations containing the words biology computing.
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1. Multiscale Modeling in Systems Biology : Methods and Perspectives
Abstract : In the last decades, mathematical and computational models have become ubiquitous to the field of systems biology. Specifically, the multiscale nature of biological processes makes the design and simulation of such models challenging. READ MORE
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2. Large-scale simulation-based experiments with stochastic models using machine learning-assisted approaches : Applications in systems biology using Markov jump processes
Abstract : 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. READ MORE
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3. Analysis of large-scale metagenomic data
Abstract : The topic of this thesis is the analysis of large data sets of DNA sequence data produced from modern high-throughput DNA sequencing machines. Using such machines to sequence the genetic content of a microbial community produces a metagenome. This thesis comprises three research papers, all connected to the study of large metagenomic data sets. READ MORE
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4. Parallelism in Event-Based Computations with Applications in Biology
Abstract : Event-based models find frequent usage in fields such as computational physics and biology as they may contain both continuous and discrete state variables and may incorporate both deterministic and stochastic state transitions. If the state transitions are stochastic, computer-generated random numbers are used to obtain the model solution. READ MORE
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5. Rule-Based Approaches for Large Biological Datasets Analysis : A Suite of Tools and Methods
Abstract : This thesis is about new and improved computational methods to analyze complex biological data produced by advanced biotechnologies. Such data is not only very large but it also is characterized by very high numbers of features. READ MORE