Laboratory of Bioinformatics, Biomathematics and Biostatistics, LR16IPT09, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis 1002, Tunisia.
High Institute of Biotechnology of Sidi Thabet, University of Manouba, Ariana BP-66, Manouba 2010, Tunisia.
Gigascience. 2024 Jan 2;13. doi: 10.1093/gigascience/giae060.
The advent of high-throughput technologies, including cutting-edge sequencing devices, has revolutionized biomedical data generation and processing. Nevertheless, big data applications require novel hardware and software for parallel computing and management to handle the ever-growing data size and analysis complexity. On-premise, high-performance computing (HPC) is increasingly used in biomedical research for big data stewardship.
In this work, we present Tunisia's first high-performance computational infrastructure for omics research.
We highlight measurements and recommendations that may help institutions in other low- and middle-income countries that are eager to implement local HPC in facilities for bioinformatics research and omics data analyses.
高通量技术的出现，包括尖端测序设备，彻底改变了生物医学数据的生成和处理方式。然而，大数据应用需要新型硬件和软件进行并行计算和管理，以处理不断增长的数据大小和分析复杂性。在生物医学研究中，本地高性能计算（HPC）越来越多地用于大数据管理。
在这项工作中，我们展示了突尼斯用于组学研究的首个高性能计算基础设施。
我们强调了一些测量和建议，这些建议可能有助于其他渴望在生物信息学研究和组学数据分析设施中实施本地 HPC 的中低收入国家的机构。
