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

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http://hdl.handle.net/2183/35712
Atribución 4.0 Internacional (CC BY)
Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional (CC BY)
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Title
bioScience: A new python science library for high-performance computing bioinformatics analytics
Author(s)
López-Fernández, Aurelio
Gómez-Vela, Francisco A.
González-Domínguez, Jorge
Bidare-Divakarachari, Parameshachari
Date
2024
Citation
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
Abstract
[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.
Keywords
Bioinformatics
High-performance computing
Data science
Data mining
Data analysis
 
Description
Financiado para publicación en acceso aberto: Universidad Pablo de Olavide/CBUA
Editor version
https://doi.org/10.1016/j.softx.2024.101666
Rights
Atribución 4.0 Internacional (CC BY)

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