CF Bioinformatics and Biostatistics Core

CF 生物信息学和生物统计学核心

• 批准号: 10686327
• 负责人: Bruce A. Stanton
• 金额: $ 25.11万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10686327
• 关键词: Applications Grants; Area; Big Data; Bioinformatics; Biological; Biology; Biomedical Research; Biometry; Biostatistics Core; Childhood; Collaborations; Communication; Communities; Complex; Computer software; Core Facility; Cystic Fibrosis; Data; Data Analyses; Data Science; Data Scientist; Data Set; Databases; Deposition; Development; Education; Educational process of instructing; Educational workshop; Ensure; Experimental Designs; FAIR principles; Faculty; Foundations; Funding; Genomics; Goals; Health; Hour; Human Resources; Informatics; Institution; Instruction; Investments; Language; Lead; Learning; Life Cycle Stages; Manuscripts; Metagenomics; Mining; Mission; Modeling; Participant; Positioning Attribute; Preparation; Productivity; Programming Languages; Proteomics; Published Comment; Randomized; Recording of previous events; Reporting; Reproducibility; Reproducibility of Results; Research; Research Design; Research Personnel; Sample Size; Scientist; Services; Source; Specialist; Statistical Computing; Students; System; Techniques; Text; Tissues; Training; Vision; Work; Writing; biomedical data science; community center; complex data; cystic fibrosis patients; cystic fibrosis related diabetes; data interoperability; data repository; data sharing; data submission; design; experience; experimental study; follow-up; gut dysbiosis; gut microbiome; high dimensionality; high throughput analysis; host-microbe interactions; improved; informatics tool; innovation; instructor; interest; large datasets; lectures; meetings; metabolomics; microbiome; open data; outreach; patient registry; peer; programs; public database; response; single cell analysis; single-cell RNA sequencing; skills; software systems; tool; training opportunity; transcriptome sequencing; transcriptomics

The overarching goal of this application is to continue to develop the Dartmouth Cystic Fibrosis Research Center (DartCF), building on our strong history of CF-related research and expanding our capability to investigate host-microbe interactions in the gut, and their impact on gut dysbiosis and overall systemic health of patients with CF-related diabetes. The primary objective of the Cystic Fibrosis Bioinformatics and Biostatistics Core (CF-BBC) is to provide expert-level bioinformatics and biostatistical support and training. State-of-the-art bioinformatics and biostatistics have become essential in biomedical research in general, and CF research in particular, because of increasingly complex experimental designs and the large data sets that arise from genomic, transcriptomic, proteomic and related high-dimension techniques. We have found that CF researchers trained in bioinformatics and biostatistics are better positioned to analyze their own data than staff at generic data analysis Core facilities, and that CF researchers share what they’ve learned with others in their field. Therefore, investing in bioinformatics and biostatistics training is an effective and efficient response to rapidly increasing amounts of CF related scientific data. We have successfully trained four CF scientists who are now participating as instructors in our educational programs, and dozens more who report that they are sharing their training in bioinformatics and biostatistics with CF researchers on an informal basis. Importantly, we host two intensive courses to provide training in the technical and statistical foundations of applied bioinformatics, and our instructional system includes weekly meetings (R Club) and seminars at which students and faculty present their experience using statistical, graphical, and informatics tools. These weekly meetings are designed in part by participants from the CF research community, keeping our educational agenda in sync with evolving research needs. Our model of providing bioinformatics support is also innovative because CF- BBC bioinformatics and biostatistics specialists are trained CF researchers. This greatly improves communication and makes the Core more valuable in areas like experimental design, understanding biological meaning of results, suggesting follow up experiments, writing manuscripts and dealing with reviewer comments. Finally, the CF-BBC is innovative in its commitment to Open Science. Our Core helps the DartCF community format and annotate data, and deposit it in appropriate databases, making our data more findable, accessible, interoperable and reusable (FAIR) by others. We also help DartCF researchers find, download and reanalyze public data sets relevant to their research, allowing them to generate new hypotheses and ensure that preliminary findings are reproducible. In summary, the mission of the CF-BBC is to provide expert-level bioinformatics and biostatistical support and training to DartCF faculty and trainees, and our partnering institutions, and to support and enhance Open Science.

该应用程序的总体目标是继续发展达特茅斯囊性纤维化研究 中心 (DartCF)，以我们在 CF 相关研究方面的悠久历史为基础，并扩展我们的能力 研究肠道中宿主-微生物的相互作用及其对肠道菌群失调和系统整体健康的影响 囊性纤维化生物信息学的主要目标和 生物统计学核心（CF-BBC）旨在提供专家级生物信息学和生物统计学支持和培训。 最先进的生物信息学和生物统计学已成为生物医学研究的基本要素，并且 尤其是 CF 研究，因为越来越复杂的实验设计和庞大的数据集 源于基因组学、转录组学、蛋白质组学和相关的高维技术我们发现了 CF。 接受过生物信息学和生物统计学培训的研究人员比工作人员更有能力分析自己的数据 在通用数据分析核心设施中，CF 研究人员与其他人分享他们所学到的知识 因此，投资生物信息学和生物统计学培训是有效且高效的应对措施。 CF 相关科学数据量迅速增加，我们已成功培训了四位 CF 科学家。 现在作为讲师参与我们的教育计划，还有数十人报告说他们是 与 CF 研究人员非正式地分享他们在生物信息学和生物统计学方面的培训。 我们举办两门强化课程，提供应用技术和统计基础方面的培训 生物信息学，我们的教学系统包括每周会议（R 俱乐部）和研讨会，学生可以在其中参加 和教师在这些每周的会议上展示他们使用统计、图形和信息学工具的经验。 部分由 CF 研究社区的参与者设计，使我们的教育议程保持同步 随着研究需求的不断变化，我们提供生物信息学支持的模式也具有创新性，因为 CF- BBC 生物信息学和生物统计学专家都是经过培训的 CF 研究人员，这大大提高了。 沟通并使核心在实验设计、理解生物学等领域更有价值 结果的意义，建议后续实验，撰写手稿并与审稿人打交道 最后，CF-BBC 在对开放科学的承诺方面具有创新性，我们的核心为 DartCF 提供了帮助。 社区格式和注释数据，并将其存储在适当的数据库中，使我们的数据更容易找到， 其他人可访问、可互操作和可重用（公平），我们还帮助 DartCF 研究人员查找、下载和使用。 重新分析与其研究相关的公共数据集，使他们能够产生新的假设并确保 总之，CF-BBC 的使命是提供专家级的结果。 为 DartCF 教师和学员提供生物信息学和生物统计支持和培训，以及我们的合作伙伴 机构，并支持和加强开放科学。