Biostatistics & Bioinformatics Shared Resource

项目摘要 生物统计学和生物信息学共享资源 生物统计学和生物信息学共享资源（BBSR）的总体目标是提供全面的， 多学科的数据科学专业知识，重点是严谨和可重复的研究，莫菲特成员在 支持特殊的科学和实践改变研究者发起的临床试验。BBSR由16个 教师和25名工作人员，并在三个重点领域提供多样化的专业知识：生物统计学，生物信息学， 信息学，服务涵盖科学方法的各个方面，从研究设计和功效估计， 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 确保研究能力、数据的正确分配和整合以及成员项目的有效管理。 BBSR为实现其目标而开展的活动分为四个具体目标： 目的1：为研究项目提供研究设计、可行性评估和样本量/功效估计， 协议和拨款申请。 目标2：为研究项目，赠款和协议提供生物统计和生物信息学分析专业知识。 目标3：开发和支持研究使能技术、管道和计算工具， 以可复制的方式及时准确地完成研究项目。 目的4：教育学生，研究员，教职员工和其他研究人员的研究设计，数据收集， 和计算分析方面用于癌症研究项目。 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，这导致更好的设计，动力， 为莫菲特成员进行创新性分析研究。在2020财年，BBSR支持了所有五个成员国的118个成员国 计划（CBE 17%，CE 20%，MM 31%，HOB 10%和IO 22%），其中72%的成员持有同行 审查资金。这转化为对417个项目和144份出版物的支助。占76% 自FY 16以来，使用量增加。BBSR还支持了2020财年成员提交的203份拨款提案 一个人重要的是，BBSR的贡献导致了范式和实践的转变， 癌症的预防、治疗和治愈，自2016年以来的486篇（60篇高影响力）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）计算 免疫学; 2）单细胞空间转录组学、蛋白质组学、亚硫酸氢盐测序（scBS-seq）、ATAC-seq和TCR 和BCR库; 3）多重免疫荧光数据; 4）数字病理学;和5）新抗原 识别.此外，BBSR将继续开发新的方法和数据可视化工具 整合，并将扩大其教育计划和服务，在管理数据。

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.