非洲发展生物信息学平台的挑战与机遇:以布基纳法索Joseph Ki-Zerbo大学的BurkinaBioinfo为例。

IF 7.3 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Briefings in bioinformatics Pub Date : 2024-11-22 DOI:10.1093/bib/bbaf040
Ezechiel B Tibiri, Palwende R Boua, Issiaka Soulama, Christine Dubreuil-Tranchant, Ndomassi Tando, Charlotte Tollenaere, Christophe Brugidou, Romaric K Nanema, Fidèle Tiendrebeogo
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引用次数: 0

摘要

生物信息学是生物学和计算机科学相结合的跨学科领域,能够从复杂的生物数据中提取有意义的信息。在高通量组学技术和先进测序方法的推动下,生物数据呈指数级增长,需要强大的计算资源。在世界范围内,生物信息学技能和计算集群对于管理和分析卫生、农业和环境科学领域的大规模生物数据集至关重要,这对非洲大陆至关重要。在布基纳法索,建立生物信息学基础设施是一个渐进的过程。2015-2016年期间的初步培训计划,包括生物信息学课程和建立BurkinaBioinfo (BBi)平台,取得了重大进展。250多名科学家接受了不同层次的生物信息学培训,为高性能计算访问创建了105个用户帐户。该平台自2019年投入运营以来,极大地促进了西非科学家和系统管理员的培训计划,涵盖数据生成、生物信息学入门、系统发育分析和宏基因组学。来自各种来源的财政和技术支持促进了该平台的快速发展,以满足日益增长的生物信息学分析需求,特别是与当地“湿实验室”相结合。在布基纳法索建立一个生物信息学集群涉及确定研究人员的需求、选择适当的硬件和安装必要的生物信息学工具。目前,BBi平台面临的主要挑战包括正在进行的生物信息学技能培训和面对日益增长的基础设施需求的高水平IT基础设施管理。尽管存在这些挑战,在布基纳法索建立生物信息学平台为该国的科学研究和经济发展提供了重要的机会。
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Challenges and opportunities of developing bioinformatics platforms in Africa: the case of BurkinaBioinfo at Joseph Ki-Zerbo University, Burkina Faso.

Bioinformatics, an interdisciplinary field combining biology and computer science, enables meaningful information to be extracted from complex biological data. The exponential growth of biological data, driven by high-throughput omics technologies and advanced sequencing methods, requires robust computational resources. Worldwide, bioinformatics skills and computational clusters are essential for managing and analysing large-scale biological datasets across health, agriculture, and environmental science, which are crucial for the African continent. In Burkina Faso, the establishment of bioinformatics infrastructure has been a gradual process. Initial training initiatives between 2015-2016, including bioinformatics courses and the establishment of the BurkinaBioinfo (BBi) platform, marked significant progress. Over 250 scientists have been trained at diverse levels in bioinformatics, 105 user accounts have been created for high-performance computing access. Operational since 2019, this platform has significantly facilitated training programs for scientists and system administrators in west Africa, covering data production, introductory bioinformatics, phylogenetic analysis, and metagenomics. Financial and technical support from various sources has facilitated the rapid development of the platform to meet the growing need for bioinformatics analysis, particularly in conjunction with local 'wet labs'. Establishing a bioinformatics cluster in Burkina Faso involved identifying the needs of researchers, selecting appropriate hardware and installing the necessary bioinformatics tools. At present, the main challenges for the BBi platform include ongoing staff training in bioinformatics skills and high-level IT infrastructure management in the face of growing infrastructure demands. Despite these challenges, the establishment of a bioinformatics platform in Burkina Faso offers significant opportunities for scientific research and economic development in the country.

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来源期刊
Briefings in bioinformatics
Briefings in bioinformatics 生物-生化研究方法
CiteScore
13.20
自引率
13.70%
发文量
549
审稿时长
6 months
期刊介绍: Briefings in Bioinformatics is an international journal serving as a platform for researchers and educators in the life sciences. It also appeals to mathematicians, statisticians, and computer scientists applying their expertise to biological challenges. The journal focuses on reviews tailored for users of databases and analytical tools in contemporary genetics, molecular and systems biology. It stands out by offering practical assistance and guidance to non-specialists in computerized methodologies. Covering a wide range from introductory concepts to specific protocols and analyses, the papers address bacterial, plant, fungal, animal, and human data. The journal's detailed subject areas include genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signaling pathways, structure determination and function prediction, phylogenetic studies, and education and training.
期刊最新文献
Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction. EssTFNet: integration of adaptive time-frequency and DNA language models for interpretable human essential gene prediction. DNA-DETR: sequence representation matters in object detection for functional genomic elements. A historical journey of metabolite-protein interaction discovery: from data harmonization to AI-driven prediction. Genome assemblies and annotations are not static and need support for tracking their evolution.
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