# Data Analysis Core

> **NIH NIH U54** · VANDERBILT UNIVERSITY · 2020 · $532,989

## Abstract

Project Summary 
The VU-BIOMIC Data Analysis Core (DAC) is tasked with both pre-analytical and analytical challenges. The 
investigators of the DAC have broad range of experience working with high-dimensional imaging mass 
spectrometry data sets, even leading the field in new methodologies to process such data. In addition, the DAC 
team has pioneered methods to combine high spatial resolution microscopy and 3-dimensional data sets with 
IMS. However, BIOMIC will require that the DAC architect a platform that integrate all of the pre-analytical and 
analytical computational approaches into a complete computational platform capable of processing the data 
generated by the Characterization pipeline efficiently. A primary driving force behind all work carried out will be 
automation of the reconstruction and subsequent analysis. This will allow plug-and-play analysis of new 
datasets as they are generated. As the experimental workflow is expansive, it is important that the DAC 
provide rapid feedback of metrics to track data quality and provide analyses that lead to biological insight.

## Key facts

- **NIH application ID:** 10187502
- **Project number:** 5U54DK120058-03
- **Recipient organization:** VANDERBILT UNIVERSITY
- **Principal Investigator:** Jeffrey M Spraggins
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $532,989
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10187502

## Citation

> US National Institutes of Health, RePORTER application 10187502, Data Analysis Core (5U54DK120058-03). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10187502. Licensed CC0.

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