bioScience: A new python science library for high-performance computing bioinformatics analytics

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http://hdl.handle.net/2183/35712
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- Investigación (FIC) [1682]
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Mostrar el registro completo del ítemTítulo
bioScience: A new python science library for high-performance computing bioinformatics analyticsAutor(es)
Fecha
2024Cita bibliográfica
A. López-Fernández, F. A. Gómez-Vela, J. Gonzalez-Dominguez, and P. Bidare-Divakarachari, "bioScience: A new python science library for high-performance computing bioinformatics analytics", SoftwareX, Vol. 26, art. 101666, May 2024, https://doi.org/10.1016/j.softx.2024.101666
Resumen
[Abstract]: BioScience is an advanced Python library designed to satisfy the growing data analysis needs in the field of bioinformatics by leveraging High-Performance Computing (HPC). This library encompasses a vast multitude of functionalities, from loading specialized gene expression datasets (microarrays, RNA-Seq, etc.) to preprocessing techniques and data mining algorithms suitable for this type of datasets. BioScience is distinguished by its capacity to manage large amounts of biological data, providing users with efficient and scalable tools for the analysis of genomic and transcriptomic data through the use of parallel architectures for clusters composed of CPUs and GPUs.
Palabras clave
Bioinformatics
High-performance computing
Data science
Data mining
Data analysis
High-performance computing
Data science
Data mining
Data analysis
Descripción
Financiado para publicación en acceso aberto: Universidad Pablo de Olavide/CBUA
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Derechos
Atribución 4.0 Internacional (CC BY)