Developing a Bioinformatics Program and Supporting Infrastructure in a Biomedical Library

Nate Hosburgh
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引用次数: 3

Abstract

Background : Over the last couple decades, the field of bioinformatics has helped spur medical discoveries that offer a better understanding of the genetic basis of disease, which in turn improve public health and save lives. Concomitantly, support requirements for molecular biology researchers have grown in scope and complexity, incorporating specialized resources, technologies, and techniques. Case Presentation : To address this specific need among National Institutes of Health (NIH) intramural researchers, the NIH Library hired an expert bioinformatics trainer and consultant with a PhD in biochemistry to implement a bioinformatics support program. This study traces the program from its inception in 2009 to its present form. Discussion involves the particular skills of program staff, development of content, collection of resources, associated technology, assessment, and the impact of the program on the NIH community. Conclusion : Based on quantitative and qualitative data, the bioinformatics support program has been heavily used and appreciated by researchers. Continued success will depend on filling key staff positions, building on the existing program infrastructure, and keeping abreast of developments within the field to remain relevant and in touch with the medical research community utilizing bioinformatics services. Library The of gene and identify transcription factor binding gene set enrichment/pathway analysis from microarray experiments, and next-gen sequence analysis: RNA-Seq, ChIP-Seq, and miRNA-Seq.
生物医学图书馆的生物信息学研究与基础设施建设
背景:在过去的几十年里,生物信息学领域帮助促进了医学发现,这些发现提供了对疾病遗传基础的更好理解,从而改善了公众健康并挽救了生命。与此同时,对分子生物学研究人员的支持需求在范围和复杂性上都有所增长,包括专门的资源、技术和技术。案例介绍:为了解决美国国立卫生研究院(NIH)校内研究人员的这一特殊需求,NIH图书馆聘请了一位生物信息学专家培训师和顾问,他拥有生物化学博士学位,以实施生物信息学支持计划。这项研究追溯了该计划从2009年开始到现在的形式。讨论涉及项目人员的特殊技能、内容的开发、资源的收集、相关技术、评估以及项目对NIH社区的影响。结论:基于定量和定性数据的生物信息学支持程序得到了研究人员的广泛使用和赞赏。继续取得成功将取决于能否填补关键工作人员的职位空缺,在现有方案基础设施的基础上进行建设,并及时了解该领域的发展情况,以便利用生物信息学服务与医学研究界保持联系和联系。文库基因和鉴定转录因子结合基因集富集/途径分析从微阵列实验,下一代序列分析:RNA-Seq, ChIP-Seq,和miRNA-Seq。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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