H3ABioNet: a sustainable African Bioinformatics Network for H3Africa

H3ABioNet：H3Africa 的可持续非洲生物信息学网络

• 批准号: 8918713
• 负责人: Nicola Mulder
• 金额: $ 228.78万
• 依托单位: UNIVERSITY OF CAPE TOWN
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2017-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8918713
• 关键词: Africa; African; Bioinformatics; Biological; Biology; Biomedical Research; Communication; Data; Data Storage and Retrieval; Databases; Deposition; Development; Ensure; Ethics; Genetic; Genetic Medicine; Genomics; Goals; Health; Health Sciences; Healthcare; Heredity; Human; Human Resources; Intellectual Property; Medicine; Molecular; Molecular Biology; Outcome; Output; Participant; Patients; Population; Research; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Scientist; Secure; Solutions; Structure; Students; Systems Biology; Training; Training Support; Translations; analytical tool; data management; empowered; improved; member; next generation; outreach; research and development; skills; socioeconomics; tool

DESCRIPTION (provided by applicant): H3ABioNet aims to create a sustainable African Bioinformatics Network to support H3Africa researchers through the development of bioinformatics capacity on the continent. Specifically, it aims to: 1) engage with the H3Africa Consortium, providing a framework for integration and communication amongst its members to ensure progress towards the common goal of full exploitation of our genomic and environmental resources for translation into improved health in Africa; 2) develop a core bioinformatics infrastructure (hardware and human resources) to aid research in genomic medicine, high throughput biology, systems biology, genetics, and medicine, for the study of human heredity and health; S) develop tools and bioinformatics solutions appropriate for exploitation and interpretation of biological information in Africa, and make these more accessible to H3Africa researchers; 4) develop research partnerships and promote interaction between bioinformaticians, clinicians, molecular geneticists and ethics researchers to ensure integrative research into health issues in Africa; 5) develop the bioinformatics capacity of people in Africa t empower them to perform cutting edge research, and to ensure retention of bioinformatics skills on the continent; 6) facilitate secure, high-fidelity storage and management of data generated within the H3Africa framework and their deposition in public databases, so that maximum value can be derived from these data; and 7) ensure that the increasing amount of information from genomic analyses and high-throughput molecular biology is accessible to all H3Africa researchers, to promote health research, scientific progress and global competitiveness in Africa. These aims will be achieved through four major activities: user support, training and capacity development, research and tools, and outreach and communication. These activities will result in a bioinformatics support structure, continuous specialized training for bioinformaticians and researchers, development and accessibility of new tools appropriate for the African setting, and a framework for communication flow within the H3Africa Consortium. Through the pooling of existing expertise and training of the next generation of researchers, we will build critical mass in bioinformatics for H3Africa.

描述（由申请人提供）：H3ABioNet 旨在创建一个可持续的非洲生物信息学网络，通过发展非洲大陆的生物信息学能力来支持 H3Africa 研究人员。具体来说，它的目标是： 1) 与 H3Africa 联盟合作，为其成员之间的整合和沟通提供一个框架，以确保在充分利用我们的基因组和环境资源以改善非洲健康的共同目标方面取得进展； 2) 开发核心生物信息学基础设施（硬件和人力资源），以辅助基因组医学、高通量生物学、系统生物学、遗传学和医学研究，以研究人类遗传和健康； S) 开发适合非洲生物信息开发和解释的工具和生物信息学解决方案，并使 H3Africa 研究人员更容易获得这些工具和生物信息学解决方案； 4) 发展研究伙伴关系并促进生物信息学家、临床医生、分子遗传学家和伦理研究人员之间的互动，以确保对非洲健康问题的综合研究； 5) 发展非洲人民的生物信息学能力，使他们能够进行前沿研究，并确保非洲大陆保留生物信息学技能； 6) 促进H3Africa框架内生成的数据的安全、高保真存储和管理，并将其存储在公共数据库中，以便从这些数据中获得最大价值； 7) 确保所有 H3Africa 研究人员都能获得来自基因组分析和高通量分子生物学的越来越多的信息，以促进非洲的健康研究、科学进步和全球竞争力。这些目标将通过四项主要活动来实现：用户支持、培训和能力发展、研究和工具以及外展和沟通。这些活动将形成生物信息学支持结构、对生物信息学家和研究人员的持续专业培训、适合非洲环境的新工具的开发和可及性，以及 H3Africa 联盟内的通信流程框架。通过汇集现有的专业知识和培训下一代研究人员，我们将为 H3Africa 建立生物信息学的临界质量。