TRD2 NMRbox information management: CONNJUR and BMRB integration

$84,361P41FY2018GMNIH

University Of Connecticut Sch Of Med/Dnt, Farmington CT

Investigators

Linked publications & trials

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Abstract

Abstract: TRD2. The successful investigation of a biological system by NMR spectroscopy is a complex multi- step process, often requiring both automated and manual data analysis tools. The proposed NMRbox platform will provide the NMR spectroscopist easy access to a number of possible software solutions that address each step in the process. The challenges then facing the spectroscopist include: (1) the lack of software interoperability, (2) the ability to reproduce workflows and data flows, (3) the integration of experimental and derived data with information from public databases to generate new knowledge, and (4) the aggregation of experimental and metadata to form a deposition to a public database. The goal is to utilize knowledge of the NMRbox software ecosystem and infrastructure to develop user workflow analysis, data management, and public database query systems that address these challenges and support advanced data analysis tools. The CONNJUR/BMRB team has made strides toward improving software interoperability and workflow reproducibility through efficient file translation, the wrapping of third-party software at a functional level, and the capture of manual NMR spectral annotation. Driven and prioritized by the collaborating research teams and other users of the NMRbox platform, these technologies will be improved and extended to support additional software tools. Applications will be designed to analyze user activity to optimize data processing and exploration workflows. The encapsulation of metadata and quantitative information from an ongoing study of a biological system in the proposed CONNJUR data management system will provide the substrate to support both advanced automated and manual technologies for user access to BMRB (Biological Magnetic Resonance Data Bank) data and services. Ultimately, a tool will be developed to facilitate deposition of the stored data into the appropriate public database.

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