Search for dissertations about: "biology computing"

Showing result 1 - 5 of 33 swedish dissertations containing the words biology computing.

  2. 1. Multiscale Modeling in Systems Biology : Methods and Perspectives

    Author : Adrien Coulier; Andreas Hellander; Mark Chaplain; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; computational systems biology; high performance computing; Bayesian inference; stochastic simulation; cell mechanics; Scientific Computing; Beräkningsvetenskap;

    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

  4. 2. Large-scale simulation-based experiments with stochastic models using machine learning-assisted approaches : Applications in systems biology using Markov jump processes

    Author : Fredrik Wrede; Andreas Hellander; Ramon Grima; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; systems biology; stochastic simulation; model exploration; approximate parameter inference; machine learning; distributed computing; Beräkningsvetenskap; Scientific Computing;

    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

  5. 3. Analysis of large-scale metagenomic data

    Author : Fredrik Boulund; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; metagenomics; DNA analysis; big data; antibiotic resistance; hidden Markov models; high-performance computing; distributed computing; distributed computing;

    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

  6. 4. Parallelism in Event-Based Computations with Applications in Biology

    Author : Pavol Bauer; Stefan Engblom; Markos A. Katsoulakis; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Event-based computations; Parallel algorithms; Discrete-event simulation; Monte-Carlo methods; Systems biology.; Scientific Computing; Beräkningsvetenskap;

    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

  7. 5. Rule-Based Approaches for Large Biological Datasets Analysis : A Suite of Tools and Methods

    Author : Marcin Kruczyk; Jan Komorowski; Joaquin Dopazo; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rough sets; peak finding; gliomas; Alzheimer disease; STAT3; machine learning; feature selection; next generation sequencing;

    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