Core D - Data Management and Bioinformatics Core
- Institution
- Icahn School of Medicine at Mount Sinai, NY
- Principal investigator
- Adolfo Garcia-Sastre
- Funding
- $148K
- Duration
- 2018–2027
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Abstract
PROJECT SUMMARY/ABSTRACT The SYBIL Data Management and Bioinformatics Core (DMBC) will support the Center's mission at all stages of research and publication by tracking projects and experiments, facilitating reproducible analysis, developing bioinformatic tools, and ensuring access and dissemination of data and resources. Research will be accelerated by the centralization of primary and processed data, models, workflows, and pipelines using a comprehensive data management platform to connect all Projects and Cores of the program. The DMBC will implement comprehensive workflows and quality control pipelines to ensure rigor and reproducibility of the data generated throughout the SYBIL Consortium. Program data and resources will be disseminated through public repositories and a Center website developed and maintained by the Core. The workflow of the DMBC has been optimized and improved during the previous FluOMICS Consortium, through facilitating cooperation and the exchange of data, bioinformatics tools and models between Cores and Projects, resulting in the present integrated structure. An important goal of the DMBC will be the development of public tools that facilitate the use and reuse of data generated by both the SYBIL program and the broader scientific community. The availability of systems-level data in the infectious disease field has grown to unprecedented levels in recent years, particularly during the ongoing COVID-19 pandemic. However, due to a lack of accessible and easy-to-use tools that provide consolidated access and perform meta-analyses of large-scale datasets, the vast potential for infectious disease OMICs datasets to inform design and development of new therapeutic strategies likely remains unrealized. To help overcome this barrier, the DMBC plans to establish Coronascape, a new tool that enables researchers to match the network and pathway signatures of their experiments to publicly available host-pathogen data sets and leverage those data to overcome emerging challenges of an advancing field. Building on the highly successful Metascape platform previously developed by the DMBC, Coronascape promises to promote the utilization and reuse of the vast amounts of SARS-CoV-2 data that are publicly available.
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