Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 345 for “"Computational Biology"”.
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Parallelization of dynamic programming recurrences in computational biology
The rapid growth of biosequence databases over the last decade has led to a performance bottleneck in the applications analyzing them. In particular, over the last five years DNA sequencing capacity of next-generation sequencers has been doubling every six months as costs have plummeted. The data …
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Big data analytics in computational biology and bioinformatics
Big data analytics in computational biology and bioinformatics refers to an array of operations including biological pattern discovery, classification, prediction, inference, clustering as well as data mining in the cloud, among others. This dissertation addresses big data analytics by …
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Regularization based multitask learning with applications in computational biology
Diese Arbeit befasst sich mit einem in der biologischen Forschung alltäglichen Problem: Dem Entschlüsseln von biologischen Prozessen mit Hilfe von Experimenten aus verschiedenen biologischen Einheiten. So kann z.B. das Wissen aus verschiedenen Organismen, Gewebetypen, oder Tumorarten jeweils …
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A computational biology approach to studying algae-bacterial interactions
… carbon. I have applied methods from the field of computational biology to study the interactions between these organisms and other similar partnerships, with the aim of uncovering new insights. The thesis is made up of three research chapters, each focused on using a specific method to study …
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A Study Of Computational Problems In Computational Biology And Social Networks: Cancer Informatics And Cascade Modelling
… functional regulation models of proteins in biology, communities of people within social network. Since complex networks are ubiquitous in daily life, network learning had been gaining momentum in a variety of discipline like computer science, economics and biology. This call for new …
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Inference frameworks in computational biology: from protein-protein interaction networks using machine learning to carbon footprint estimation.
… and their roles in development and disease. Computational tools have been successful at predicting PPIs in silico, but the lack of consistent and reliable frameworks for this task has led to network models that are difficult to compare and, overall, a low level of trust in the predicted PPIs. …
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Tools to analyse cell signaling models
… a huge commercial and academic effort devoted to computational biology to address the shortfalls of qualitative biology. This research has become relevant due to the vast amounts of data now available from high-throughput techniques such as gene-chips, combinatorial chemistry, and fast gene …
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Computational biology in plant tissue culture: Systematic evaluation of machine learning approaches for callus induction in Solanum L.: A thesis submitted in partial fulfilment of the requirements for the Degree of Doctor of Philosophy at Lincoln University
Optimization of plant tissue culture systems remains a major biotechnological challenge; yet successful callus induction, the formation of unorganized, proliferating cell masses from differentiated tissues, enables transformative applications in agriculture, medicine, and fundamental research. …
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Towards an intelligent system for biosynthesis: fragment annotation of the building plasmid
In this project, we study a new task in computational biology, which is Fragment An- notation of the Building Plasmid. Plasmid, a small circulated DNA, is used extensively in basic and applied biology. Plasmids play a significant role in numerous computational biology experiments, emphasizing the …
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Finding all maximal common substructures in proteins
… is considered as one ofthe central issues in computational biology due to its usefulness in understandingstructure-function relationship and application in drug and vaccine design. Unlikethe structural alignment problem, a good solution for the common substructureidentification problem should …
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RNAi-based logic circuitry coupled to Cas9-mediated transcriptional control in human cells and applications to stem cell technology
… control stem cell differentiation. First, we use computational biology to analyze differential miRNA expression during human stem cell differentiation and guide biological design. We then design, build, and test proof-of-concept RNAi-based circuits in living human cells and couple them to …
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Large-scale methods for multiple sequence alignment and phylogeny estimation
… estimation, which are both core challenges in computational biology. Their established mathematical formulations are usually difficult NP-hard problems that are attacked with careful and laborious heuristics. Consequently, the most accurate methods tend to be the most computationally expensive …
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Integrating Functional Knowledge into Protein Design: A Novel Approach to Tokenization and Noise Injection for Function-Aware Protein Language Models
… functions remains a fundamental challenge in computational biology. While recent advances in protein language models have enabled powerful sequence-based representations, most models, including state-of-the-art systems like ESM3, fall short in effectively encoding functional context during …
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Biomolecular Modeling at Scale
… of biomolecules is a fundamental problem in computational biology, with broad implications for disease understanding and drug discovery. Advances in deep learning have enabled remarkable progress, but scaling these approaches to the varied and complex realities of biology is a persistent …
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Power Saving Analysis and Experiments for Large Scale Global Optimization
… called pVTdirect, when used with a large scale computational biology application, parameter estimation for a budding yeast cell cycle model, on System G. Two power aware approaches for pVTdirect are developed and compared against the CPUSPEED power saving system tool. The results show that …
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Knowledge Management Enviroments for High Throughput Biology
… the growing complexity and scale of data sets in computational biology and chemoin- formatics, there is a need for novel knowledge processing tools and platforms. This thesis describes a newly developed knowledge processing platform that is different in its emphasis on architecture, flexibility, …
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Knowledge discovery for stochastic models of biological systems
Biology is the science of life and living organisms. Empowered by the deployment of several automated experimental frameworks, this discipline has seen a tremendous growth during the last decades. Recently, the focus towards studying biological systems holistically, has lead to biology converging …
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Structure, Function, and Interaction in Protein Language Models
… thereby contributing to advancements in computational biology.
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Genome-wide microbial phylogeny reconstruction with polytomy identification
… genomics is one of the most studied areas in the computational biology. With ever increasing speed of newly sequenced microbial genome deposition, the study of the evolutionary relationships among microbes has becoming more and more imperative. Using complete genome sequences to infer large scale …
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Approximate inference in graphical models using LP relaxations
… vision and natural language processing, to computational biology. Exact probabilistic inference is generally intractable in complex models having many dependencies between the variables. We present new approaches to approximate inference based on linear programming (LP) relaxations. Our …
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