Applied Bioinformatics Laboratories Shared Resource

摘要/项目摘要 应用生物信息学实验室（ABL） 应用生物信息学实验室（ABL）的首要目标是提供强大的， 生物医学数据的成本效益，快速和可重复的分析，包括但不限于 多组学、成像和临床数据。这一目标是通过使用各种 建立和新颖的计算工作流程、方法和工具。在…的领导下 博士ABL提供测序分析的全程标准化 数据集，严格的数据质量评估，集成和可视化，以及统计 与生物统计共享资源（Biostat）密切合作。ABL也可以 与其他PCC共享资源密切合作，最著名的是基因组技术中心和 生物标本研究与开发中心。生物信息学分析的结果 在ABL中进行，通过定制界面与PCC调查员共享， 可通过高性能计算（HPC）群集访问。超越数据管理和 分析，ABL通过三个具体目标为研究周期的各个方面做出贡献： 目的1）为PCC生成的生物医学数据提供统一和简化的分析 2）管理和传播生物信息学分析的数据和结果; 目标3）利用数据集成和机器学习方法来产生新的见解， 假设

Abstract/Project Summary APPLIED BIOINFORMATICS LABORATORIES (ABL) The overarching goal of the Applied Bioinformatics Laboratories (ABL) is to provide robust, cost-effective, rapid and reproducible analysis of biomedical data, including, but not limited to multi-omics, imaging and clinical data. This goal is accomplished by using a variety of established and novel computational workflows, methods and tools. Under the directorship of Dr. Aristotelis Tsirigos, ABL provides start-to-finish standardization of the analysis of sequencing datasets, rigorous data quality assessment, integration and visualization, as well as statistical expertise in close collaboration with the Biostatistics shared resource (Biostat). ABL also works closely with other PCC shared resources, most notably the Genome Technology Center and the Center for Biospecimen Research and Development. The results of the bioinformatics analyses conducted in ABL are shared with PCC investigators via a customized interface and are also accessible via the High-Performance Computing (HPC) cluster. Beyond data management and analysis, ABL contributes to all aspects of the research cycle by means of three Specific Aims: Aim 1) To provide unified and streamlined analysis of biomedical data generated by PCC investigators; Aim 2) To manage and disseminate data and results of bioinformatics analyses; Aim 3) To utilized data integration and machine learning methods to generate new insights and hypotheses.