Bioinformatics Shared Resource

项目摘要：生物信息学共享资源 由于多信息学的高通量特性，生物信息学已经成为癌症研究的重要组成部分。 组学数据(如遗传、基因组、表观遗传学、转录组、蛋白质组和代谢组) 由癌症研究项目产生。因此，存在对开发计算的巨大需求 基础设施，用于收集、处理、存储、分析和便利 癌症研究社区。生物信息学与系统生物学(BSB)的主要目标 资源是为了促进生物信息学资源的访问，包括硬件、软件和人员 专业知识；培训研究人员使用这些资源；并为研究项目提供定制支持 包括开发尖端工具和协议以匹配快速变化的技术 癌症研究领域。BSB共享资源配备了本地安装的生物信息学工具和 由最先进的计算和存储基础设施支持的与癌症研究相关的数据库。在……里面 除了广泛的可信开源工具集合之外，共享资源还将提供访问 到几个经过许可的生物信息学软件工具，如Inenvenity Path Analysis，CLC Genome 工作台、Partek Flow、薛定谔分子药物发现套件和BioCyc数据库收集。 同样，计算基础设施包括用于数据存储的专用服务器、高性能 计算、数据库和网络开发以及可选的云计算。共享资源提供了广泛的 生物信息学服务的范围分为五个主题领域，包括(一)分析下一代 基于测序(NGS)的基因组数据；(Ii)基于阵列和系统生物学数据的分析；(Iii)机器- 学习、大数据分析和精准医学研究；(Iv)软件和数据库的开发 申请生物信息学项目；以及(V)支持实验设计和赠款咨询。在 在过去的资金周期中，共享资源支持了数百个不同的研究项目， 三分之一的共享资源用户来自弗雷德和帕梅拉·巴菲特癌症中心(BCC)。这个 共享资源总监由四名训练有素的支持人员协助，这些人员具有不同的培训背景 计算机编程、统计学、癌症基因组学和系统生物学。一个由以下成员组成的顾问委员会 在UNMC代表不同学院的成员监督共享资源政策和程序，并 提出建议。共享资源主任还领导了一个癌症基因组学研究项目 和生物信息学，指导癌症生物学培训计划的学生，并与许多 协助开发定制的数据分析协议，以满足不断发展的 癌症研究人员的需求。

PROJECT SUMMARY: BIOINFORMATICS SHARED RESOURCE Bioinformatics has become an essential part of cancer research due to the high-throughput nature of multi- omics data (such as genetic, genomic, epigenetic, transcriptomic, proteomic and metabolomic) that are being generated from cancer research projects. Thus, a tremendous need exists for developing computational infrastructure for the collection, processing, storage, analysis, and facilitation of the use of such data by the cancer research community. The main goals of the Bioinformatics and Systems Biology (BSB) Shared Resource are to facilitate access to bioinformatics resources that include hardware, software and personnel expertise; train researchers in the use of such resources; and provide custom support for research projects including the development of cutting-edge tools and protocols to match the rapidly changing technologies in the realm of cancer research. BSB Shared Resource is equipped with locally installed bioinformatics tools and databases related to cancer research backed by state-of-the-art computational and storage infrastructure. In addition to an extensive collection of trusted open-source tools, the Shared Resource will also provide access to several licensed bioinformatic software tools such as Ingenuity Pathway Analysis, CLC Genomics Workbench, Partek Flow, Schrodinger Molecular Drug Discovery suite, and BioCyc Database Collection. Similarly, the computational infrastructure includes dedicated servers for data storage, high-performance computing, database and web development and optional cloud computing. The Shared Resource offers a wide range of bioinformatics services that fall into five thematic areas including (i) analysis of next-generation sequencing (NGS)-based genomics data; (ii) analysis of array-based and systems biology data; (iii) machine- learning, big-data analysis and precision medicine research; (iv) development of software and database applications for bioinformatics projects; and (v) support for experimental design and grant consultation. In the past funding cycle, the Shared Resource has supported several hundred distinct research projects with over a third of the Shared Resource users hailing from the Fred and Pamela Buffett Cancer Center (BCC). The Shared Resource Director is assisted by four well-trained support staff with diverse training backgrounds in computer programming, statistics, cancer genomics, and systems biology. An advisory board that consists of members representing different colleges at UNMC oversees the Shared Resource policies and procedures and makes recommendations. The Shared Resource Director also leads a research program in cancer genomics and bioinformatics, mentors students in the Cancer Biology Training Program and collaborates with a number of BCC investigators to facilitate the development of customized data analysis protocols that meet the evolving needs of cancer researchers.