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Highlights of Hope Spring/Summer 23

This is the 2023 Spring/Summer edition of Van Andel Institute's Highlights of Hope donor publication.

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RESEARCH<br />

Collaboration harnesses data to<br />

fuel discovery<br />

Discoveries are built on data.<br />

But what happens when the amount <strong>of</strong> data becomes so immense<br />

that even our most powerful computers struggle to handle it?<br />

That’s the challenge a pair <strong>of</strong> Van Andel Institute and Grand Valley<br />

State University scientists aim to solve — and they’ve earned a<br />

$200,000 Data Insights grant from the Chan Zuckerberg Initiative<br />

to do it.<br />

The project, led by VAI Associate Pr<strong>of</strong>essor Dr. Tim Triche, Jr., and<br />

GVSU Assistant Pr<strong>of</strong>essor Dr. Zachary DeBruine, addresses a<br />

central problem in modern, data-intensive biomedical research:<br />

how to efficiently store and analyze the massive data output from<br />

today’s technologies in a way that allows both researchers and<br />

citizen-scientists to unlock the insights within.<br />

For example, scientists can now catalog the differences between<br />

individual cells in extreme detail, illuminating variations that may<br />

contribute to cancer, Parkinson’s and many other diseases. But<br />

these answers are buried in vast swathes <strong>of</strong> data that must be<br />

analyzed and stored — a task that can be tough even for highpowered<br />

computers.<br />

“A central problem in science today is that our ability to generate<br />

data has outpaced our ability to analyze large, complex biological<br />

datasets,” said Triche. “Our goal is to improve access to powerful<br />

tools and allow exploration <strong>of</strong> the foundations <strong>of</strong> biology — how<br />

cells determine their fate, state and function; how cells interact<br />

with each other and their environment to produce health and<br />

disease; and how genetic variation between and within people<br />

influences the outcomes. By democratizing these tools, we seek<br />

to open up the field so that not just researchers or clinicians, but<br />

anyone with the desire to do so, can participate.”<br />

The project was born from the research <strong>of</strong> DeBruine, a former<br />

postdoctoral fellow in Triche’s lab who earned his doctorate from<br />

Van Andel Institute Graduate School. DeBruine is now an assistant<br />

pr<strong>of</strong>essor at Grand Valley State University’s Applied Computing<br />

Institute, which is housed in the Padnos College <strong>of</strong> Engineering and<br />

Computing. He also holds an adjunct position at VAI.<br />

As part <strong>of</strong> his Ph.D. dissertation, DeBruine developed an elegant<br />

solution that repackages data files that are too big to run on a<br />

single computer into a compressed form. The resulting file requires<br />

1/10th the computational space as the original without losing<br />

data or performance, making it much easier and faster to comb<br />

through data. The grant from the Chan Zuckerberg Initiative will<br />

allow Triche and DeBruine to refine and scale up this solution.<br />

“We aim to make data analysis more accessible using simple<br />

solutions that don’t require resource-intensive computational<br />

pipelines or deep expertise in computer science,” DeBruine said.<br />

“Our efforts ensure that all researchers can analyze single-cell<br />

data. What that ultimately means is more people can work with<br />

information in ways that could shed new light on the diseases that<br />

impact so many.”<br />

6 | VAN ANDEL INSTITUTE HIGHLIGHTS OF HOPE

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