Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/61730
Título: | Troppo - A Python framework for the reconstruction of context-specific metabolic models |
Autor(es): | Ferreira, Jorge M. L. Vieira, Vítor Gomes, Jorge Correia, Sara Rocha, Miguel |
Palavras-chave: | Context-specific model reconstruction Tissue specific models Genome-scale metabolic models Omics data integration |
Data: | 2020 |
Editora: | Springer |
Revista: | Advances in Intelligent Systems and Computing |
Citação: | Ferreira, Jorge; Vieira, Vítor; Gomes, Jorge; Correia, Sara; Rocha, Miguel, Troppo - A Python framework for the reconstruction of context-specific metabolic models. Advances in Intelligent Systems and Computing. Vol. 1005 (PACBB 2019), Springer, 146-153, 2020. |
Resumo(s): | The surge in high-throughput technology availability for molecular biology has enabled the development of powerful predictive tools for use in many applications, including (but not limited to) the diagnosis and treatment of human diseases such as cancer. Genome-scale metabolic models have shown some promise in clearing a path towards precise and personalized medicine, although some challenges still persist. The integration of omics data and subsequent creation of context-specific models for specific cells/tissues still poses a significant hurdle, and most current tools for this purpose have been implemented using proprietary software. Here, we present a new software tool developed in Python, troppo - Tissue-specific RecOnstruction and Phenotype Prediction using Omics data, implementing a large variety of context-specific reconstruction algorithms. Our framework and workflow are modular, which facilitates the development of newer algorithms or omics data sources. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/61730 |
ISBN: | 9783030238728 |
DOI: | 10.1007/978-3-030-23873-5_18 |
ISSN: | 2194-5357 |
e-ISSN: | 2194-5365 |
Versão da editora: | http://www.springer.com/series/11156 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_51779_1.pdf | 242,48 kB | Adobe PDF | Ver/Abrir |