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Koala: sistema para integração de métodos de predição e análise de estruturas de proteína / Koala: system for integration of methods for protein structures prediction and analysisDefelicibus, Alexandre 25 January 2016 (has links)
A Biologia Computacional tem desenvolvido algoritmos aplicados a problemas relevantes da Biologia. Um desses problemas é a Protein Structure Prediction (PSP). Vários métodos têm sido desenvolvidos na literatura para lidar com esse problema. Porém a reprodução de resultados e a comparação dos mesmos não têm sido uma tarefa fácil. Nesse sentido, o Critical Assessment of protein Structure Prediction (CASP), busca entre seus objetivos, realizar tais comparações. Além disso, os sistemas desenvolvidos para esse problema em geral não possuem interface amigável, não favorecendo o uso por não especialistas da computação. Buscando reduzir essas dificuldades, este trabalho propões o Koala, um sistema baseado em uma plataforma web, que integra vários métodos de predição e análises de estruturas de proteínas, possibilitando a execução de experimentos complexos com o uso de fluxos de trabalhos. Os métodos de predição disponíveis podem ser integrados para a realização de análises dos resultados, usando as métricas RMSD, GDT-TS ou TM-Score. Além disso, o método Sort by front dominance (baseado no critério de optimalidade de Pareto), proposto nesse trabalho, consegue avaliar predições sem uma estrutura de referência. Os resultados obtidos, usando proteínas alvo de artigos recentes e do CASP11, indicam que o Koala tem capacidade de realizar um conjunto relativamente grande de experimentos estruturados, beneficiando a determinação de melhores estruturas de proteínas, bem como o desenvolvimento de novas abordagens para predição e análise por meio de fluxos de trabalho. / Computational Biology has developed algorithms applied to relevant problems from Biology. One of these probems is Protein Structure Prediction (PSP). Several methods have been developed on the liteture to deal with this problem. However, the reproduction of results and the comparison of the methods have not been an easy task. Accordingly, the Critical Assessment of protein Structure Prediction (CASP), has among his objectives, perform these comparisons. Besides, the developed systems for this problem have low usability, not benefiting the investigation of various methods by non experts. In order to minimize those difficulties, this project proposes Koala, a web-based system that integrates several algorithms applied to PSP and analysis, allowing the execution of complex experiments by using workflows. The prediction methods can be integrated to perform some analysis of the results, by using the RMSD, GDT-TS and TM-Score metrics. Moreover, the Sort by front dominance method (based on the criterion of Pareto optimalidad), proposed on this work, can evaluate predictions with no reference structure. The results obtained, using target proteins from recent articles and CASP11, indicate that Koala has the capability to execute a relatively large set of organized experiments, benefiting determining of better protein structures, as well as the development of new approaches for prediction and analysis through workflows.
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Koalas and the community : a study of low density populations in Southern SydneyWard, Steven J., University of Western Sydney, College of Science, Technology and Environment, School of Science, Food and Horticulture January 2002 (has links)
The aim of this study was to investigate the distribution, density, health, condition, fertility, causes of mortality, home range size and tree preferences, of koalas in low density populations in the south of Sydney. This information was then used to make management recommendations; good management is needed because there is rapid human population growth and pressure for development of koala habitat in the Sydney region. State Environment Planning Policy 44(SEPP44) is New South Wales legislation that relates to developments affecting koala habitat. Problems in the application of SEPP44 in the Sydney region were found to exist, such as Sutherland Local Government Area (LGA) not being covered, and changes to this legislation are also recommended. / Doctor of Philosophy (PhD)
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Koalas and the community : a study of low density populations in Southern SydneyWard, Steven J., University of Western Sydney, College of Science, Technology and Environment, School of Science, Food and Horticulture January 2002 (has links)
The aim of this study was to investigate the distribution, density, health, condition, fertility, causes of mortality, home range size and tree preferences, of koalas in low density populations in the south of Sydney. This information was then used to make management recommendations; good management is needed because there is rapid human population growth and pressure for development of koala habitat in the Sydney region. State Environment Planning Policy 44(SEPP44) is New South Wales legislation that relates to developments affecting koala habitat. Problems in the application of SEPP44 in the Sydney region were found to exist, such as Sutherland Local Government Area (LGA) not being covered, and changes to this legislation are also recommended. / Doctor of Philosophy (PhD)
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The comparative ecology and population dynamics of koalas in the koala coast region of south-east QueenslandThompson, Jim, (James Athol) Unknown Date (has links)
No description available.
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The comparative ecology and population dynamics of koalas in the koala coast region of south-east QueenslandThompson, Jim, (James Athol) Unknown Date (has links)
No description available.
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The comparative ecology and population dynamics of koalas in the koala coast region of south-east QueenslandThompson, Jim, (James Athol) Unknown Date (has links)
No description available.
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The comparative ecology and population dynamics of koalas in the koala coast region of south-east QueenslandThompson, Jim, (James Athol) Unknown Date (has links)
No description available.
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The comparative ecology and population dynamics of koalas in the koala coast region of south-east QueenslandThompson, Jim, (James Athol) Unknown Date (has links)
No description available.
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The comparative ecology and population dynamics of koalas in the koala coast region of south-east QueenslandThompson, Jim, (James Athol) Unknown Date (has links)
No description available.
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Koala: sistema para integração de métodos de predição e análise de estruturas de proteína / Koala: system for integration of methods for protein structures prediction and analysisAlexandre Defelicibus 25 January 2016 (has links)
A Biologia Computacional tem desenvolvido algoritmos aplicados a problemas relevantes da Biologia. Um desses problemas é a Protein Structure Prediction (PSP). Vários métodos têm sido desenvolvidos na literatura para lidar com esse problema. Porém a reprodução de resultados e a comparação dos mesmos não têm sido uma tarefa fácil. Nesse sentido, o Critical Assessment of protein Structure Prediction (CASP), busca entre seus objetivos, realizar tais comparações. Além disso, os sistemas desenvolvidos para esse problema em geral não possuem interface amigável, não favorecendo o uso por não especialistas da computação. Buscando reduzir essas dificuldades, este trabalho propões o Koala, um sistema baseado em uma plataforma web, que integra vários métodos de predição e análises de estruturas de proteínas, possibilitando a execução de experimentos complexos com o uso de fluxos de trabalhos. Os métodos de predição disponíveis podem ser integrados para a realização de análises dos resultados, usando as métricas RMSD, GDT-TS ou TM-Score. Além disso, o método Sort by front dominance (baseado no critério de optimalidade de Pareto), proposto nesse trabalho, consegue avaliar predições sem uma estrutura de referência. Os resultados obtidos, usando proteínas alvo de artigos recentes e do CASP11, indicam que o Koala tem capacidade de realizar um conjunto relativamente grande de experimentos estruturados, beneficiando a determinação de melhores estruturas de proteínas, bem como o desenvolvimento de novas abordagens para predição e análise por meio de fluxos de trabalho. / Computational Biology has developed algorithms applied to relevant problems from Biology. One of these probems is Protein Structure Prediction (PSP). Several methods have been developed on the liteture to deal with this problem. However, the reproduction of results and the comparison of the methods have not been an easy task. Accordingly, the Critical Assessment of protein Structure Prediction (CASP), has among his objectives, perform these comparisons. Besides, the developed systems for this problem have low usability, not benefiting the investigation of various methods by non experts. In order to minimize those difficulties, this project proposes Koala, a web-based system that integrates several algorithms applied to PSP and analysis, allowing the execution of complex experiments by using workflows. The prediction methods can be integrated to perform some analysis of the results, by using the RMSD, GDT-TS and TM-Score metrics. Moreover, the Sort by front dominance method (based on the criterion of Pareto optimalidad), proposed on this work, can evaluate predictions with no reference structure. The results obtained, using target proteins from recent articles and CASP11, indicate that Koala has the capability to execute a relatively large set of organized experiments, benefiting determining of better protein structures, as well as the development of new approaches for prediction and analysis through workflows.
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