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ETDs @PUC-Rio
Estatística
Título: A FRAMEWORK APPROACH FOR QUALITY FEATURE ANALYSIS OF GENOME ASSEMBLIES
Autor: GUILHERME BORBA NEUMANN
Colaborador(es): SERGIO LIFSCHITZ - Orientador
Catalogação: 06/DEZ/2019 Língua(s): ENGLISH - UNITED STATES
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=46226&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=46226&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.46226
Resumo:
The Genome Assembly research area has quickly evolved, adapting to new sequencing technologies and modern computational environments. There exist many assembler software that consider multiple approaches. However, at the end of the process, one can always question the quality of assemblies. When an assembly is accomplished, some quality features may be generated, in order to qualify it. Nonetheless, the features do not directly tell one about assembly quality, but only bring to the biologists quantitative assembly descriptions. We propose a Domain Framework for the feature analysis process post-genome Assembly. Our goal is to enable data interpretation and assembly quality evaluation. The Genome Assembly Analysis Framework (GAAF) was designed to work with distinct species, assemblers and features. In order to validate our proposal, we have run a few practical experiments with GAAF, which make us understand the way it can be used, instantiated and extended.
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