Biostatistics & Bioinformatics Shared Resource

项目总结 生物统计学与生物信息学共享资源 生物统计与生物信息学共享资源(BBSR)的总体目标是提供全面的、 多学科数据科学专业知识，重点是严谨和可重复的研究，向Moffitt成员提供 在卓越的科学和实践的支持下，研究人员启动了临床试验。BBSR由16个 和25名教职员工，在三个重点领域提供不同的专业知识：生物统计学、生物信息学和 信息学，服务涵盖科学方法的方方面面，从研究设计和功率估计到 数据分析和可视化。此外，BBSR与许多其他Moffitt共享资源密切合作 确保研究权力、数据的适当移交和整合，以及对成员项目的有效管理。 BBSR为实现其目标而开展的活动被组织成四个具体目标： 目标1：为研究项目提供研究设计、可行性评估和样本量/威力估算， 协议，并批准申请。 目标2：为研究项目、拨款和方案提供生物统计学和生物信息学分析专业知识。 目标3：开发和支持支持研究的技术、管道和计算工具，以促进 以可重复的方式及时、准确地完成研究项目。 目标4：对学生、研究员、教职员工和其他研究人员进行研究设计、数据收集、 以及用于癌症研究项目的计算分析方面。 BBSR使用最先进的方法提供数据科学支持(生物统计学、生物信息学、信息学 和技术，重点是可重复的研究，从而产生更好的设计、动力和 对莫菲特成员进行了创新性的研究分析。在20财年，BBSR支持所有五个成员中的118个 计划(CBE 17%，CE 20%，MM 31%，HOB 10%，IO 22%)，其中72%的成员持有对等 审查了资金来源。这意味着支持417个项目和144份出版物。这代表着76%的 自2016财年以来使用量增加。BBSR还支持了203个成员在20财年提交的拨款建议 独自一人。重要的是，BBSR的贡献导致了关于 癌症的预防、治疗和治愈，2016年以来的486篇(60篇影响很大)出版物证明了这一点。未来 BBSR的计划将提供集成的尖端服务、平台和分析1)在计算 免疫学；2)单细胞空间转录组、蛋白质组学、亚硫酸氢盐-SEQ(SCBS-SEQ)、ATAC-SEQ和TCR 和BCR曲目；3)多路免疫荧光数据；4)数字病理学；5)新抗原 身份证明。此外，BBSR将继续开发新的数据方法和可视化工具 并将扩大其在数据管理方面的教育方案和服务。

PROJECT SUMMARY BIOSTATISTICS & BIOINFORMATICS SHARED RESOURCE The overarching goal of the Biostatistics & Bioinformatics Shared Resource (BBSR) is to provide comprehensive, multidisciplinary data science expertise, with a focus on rigor and reproducible research, to Moffitt Members in support of exceptional science and practice-changing investigator initiated clinical trials. BBSR consists of 16 faculty and 25 staff and provides diverse expertise in three focused areas: biostatistics, bioinformatics, and informatics, with services spanning all facets of the scientific method from study design and power estimation to data analysis and visualization. Further, BBSR closely collaborates with many other Moffitt Shared Resources to ensure study power, proper handoffs and integration of data, and effective management of Member projects. BBSR activities towards its goal are organized into four Specific Aims: Aim 1: To provide study design, feasibility assessment, and sample size/power estimation for research projects, protocols, and grant applications. Aim 2: To provide biostatistical and bioinformatics analysis expertise for research projects, grants, and protocols. Aim 3: To develop and support research enabling technologies, pipelines, and computational tools that facilitate the timely and accurate completion of research projects in a reproducible manner. Aim 4: To educate students, fellows, faculty members, and other investigators on study design, data collection, and computational analysis aspects used in cancer research projects. BBSR provides data science support (biostatistics, bioinformatics, informatics) using state-of-the-art methods and technologies, with a focus on reproducible research, which result in better designed, powered, and innovatively analyzed studies for Moffitt Members. In FY20, BBSR supported 118 Members across all five Programs (CBE 17%, CE 20%, MM 31%, HOB 10 %, and IO 22%) with 72% of those Members holding peer reviewed funding. This translated into support of 417 projects and 144 publications. This represents a 76% increase in usage since FY16. BBSR also supported 203 grant proposal submissions by Members in FY20 alone. Importantly, BBSR contributions resulted in paradigm and practice shifting knowledge regarding the prevention, treatment, and cure of cancer, as evidenced by 486 (60 high impact) publications since 2016. Future initiatives of BBSR will provide integrated, cutting-edge services, platforms and analyses 1) in computational immunology; 2) for single-cell spatial transcriptomics, proteomics, bisulfite-seq (scBS-seq), ATAC-seq, and TCR and BCR repertoire; 3) of multiplexed immunofluorescence data; 4) of digital pathology; and 5) of neoantigen identification. Furthermore, BBSR will continue developing novel approaches and visualization tools for data integration and will expand its educational programs and services in managing data.