# CF Bioinformatics and Biostatistics Core

> **NIH NIH P30** · DARTMOUTH COLLEGE · 2021 · $251,051

## Abstract

The overarching goal of this application is to continue to develop the Dartmouth Cystic Fibrosis Research
Center (DartCF), building on our strong history of CF-related research and expanding our capability to
investigate host-microbe interactions in the gut, and their impact on gut dysbiosis and overall systemic health
of patients with CF-related diabetes. The primary objective of the Cystic Fibrosis Bioinformatics and
Biostatistics Core (CF-BBC) is to provide expert-level bioinformatics and biostatistical support and training.
State-of-the-art bioinformatics and biostatistics have become essential in biomedical research in general, and
CF research in particular, because of increasingly complex experimental designs and the large data sets that
arise from genomic, transcriptomic, proteomic and related high-dimension techniques. We have found that CF
researchers trained in bioinformatics and biostatistics are better positioned to analyze their own data than staff
at generic data analysis Core facilities, and that CF researchers share what they’ve learned with others in their
field. Therefore, investing in bioinformatics and biostatistics training is an effective and efficient response to
rapidly increasing amounts of CF related scientific data. We have successfully trained four CF scientists who
are now participating as instructors in our educational programs, and dozens more who report that they are
sharing their training in bioinformatics and biostatistics with CF researchers on an informal basis. Importantly,
we host two intensive courses to provide training in the technical and statistical foundations of applied
bioinformatics, and our instructional system includes weekly meetings (R Club) and seminars at which students
and faculty present their experience using statistical, graphical, and informatics tools. These weekly meetings
are designed in part by participants from the CF research community, keeping our educational agenda in sync
with evolving research needs. Our model of providing bioinformatics support is also innovative because CF-
BBC bioinformatics and biostatistics specialists are trained CF researchers. This greatly improves
communication and makes the Core more valuable in areas like experimental design, understanding biological
meaning of results, suggesting follow up experiments, writing manuscripts and dealing with reviewer
comments. Finally, the CF-BBC is innovative in its commitment to Open Science. Our Core helps the DartCF
community format and annotate data, and deposit it in appropriate databases, making our data more findable,
accessible, interoperable and reusable (FAIR) by others. We also help DartCF researchers find, download and
reanalyze public data sets relevant to their research, allowing them to generate new hypotheses and ensure
that preliminary findings are reproducible. In summary, the mission of the CF-BBC is to provide expert-level
bioinformatics and biostatistical support and training to DartCF faculty and t...

## Key facts

- **NIH application ID:** 10241582
- **Project number:** 5P30DK117469-04
- **Recipient organization:** DARTMOUTH COLLEGE
- **Principal Investigator:** Bruce A. Stanton
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $251,051
- **Award type:** 5
- **Project period:** 2018-07-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10241582

## Citation

> US National Institutes of Health, RePORTER application 10241582, CF Bioinformatics and Biostatistics Core (5P30DK117469-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10241582. Licensed CC0.

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