Applied Bioinformatics Laboratories Shared Resource

应用生物信息学实验室共享资源

• 批准号: 10608984
• 负责人: Aristotelis Tsirigos
• 金额: $ 10.58万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-12-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10608984
• 关键词: Bioinformatics; Biostatistics Shared Resource; Cancer Center; Cancer Center Support Grant; Clinical Data; Collaborations; Consultations; Data; Data Analyses; Data Collection; Data Set; Development; Doctor of Philosophy; Education; Educational workshop; Ensure; Genome; Goals; High Performance Computing; Image; Internships; Laboratories; Maintenance; Methods; Reporting; Reproducibility; Research; Research Personnel; Resource Sharing; Services; Standardization; Technology; Visualization; Work; cluster computing; computational pipelines; computational platform; cost effective; data integration; data management; data quality; data visualization; insight; machine learning method; member; multimodal data; multiple omics; novel; research and development; tool; web based interface; web portal

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.

抽象/项目总结