Abstract
Computational tools for supporting the management of scientific experiments are fundamental for the modern science. These tools must be easy to use, extensible and robust. This paper presents a framework for managing bioinformatics’ experiments, focusing on analysis of genomic and metagenomic data. The developed system is based on an extension of a scientific workflows management system combined with the development of specific tools related to genomic and metagenomic data analysis.
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Digiampietri, L.A., Pereira, V.M.Y., Costa, C.I., dos Santos Júnior, G.J., Stefanini, F.M., Santiago, C.R.N. (2014). An Extensible Framework for Genomic and Metagenomic Analysis. In: Campos, S. (eds) Advances in Bioinformatics and Computational Biology. BSB 2014. Lecture Notes in Computer Science(), vol 8826. Springer, Cham. https://doi.org/10.1007/978-3-319-12418-6_1
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DOI: https://doi.org/10.1007/978-3-319-12418-6_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12417-9
Online ISBN: 978-3-319-12418-6
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