Analytics Hub: Advancing our understanding of brain development by building confidence in data collection and analytical methods across research groups.
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We are pioneers in creating open-source, publicly-available methods and analytic tools to improve the reliability and confidence in data analysis.
These methods can influence high-impact, hypothesis-driven research by direct collaboration with research groups or via open-source publicly-available access by interested researchers.
We also train the next generation of statisticians to engage in cutting-edge methods and interdisciplinary research.
Saonli Basu, PhD Professor, Division of Biostatistics
Mark Fiecas, PhD Associate Professor, Division of Biostatistics
How We Engage
David Schneck, MS
Long Tran, MS
Examples of Our Engagement
Open Source Tools for the Research Community UMN Genomic Data Commons
UMN Genomic Data Commons - The Genomic Data Commons (GDC) is a central hub to store both local and publicly available datasets, harmonize the genomic data and develop many analytical pipelines around these integrated databases. We will provide services that would facilitate genomic data storage, curation, integration, visualization, and downstream analysis. Learn more about the UMN Genomic Data Commons.
Outreach to K-12 Students
Beyond Walls is a non-profit that supports economically disadvantaged youth in grades 6th-12th and the first four post secondary years through educational enrichment, health, and wellness through the sport of squash and civic leadership development. The Analytics Core hosts students onsite to introduce them to the application of math and biostatistics in neuroscience research.
Graduate Student Training
In collaboration with the Interdisciplinary Biostatistics Training in Genetics and Genomics program funded by NIH T32 Training Grant: T32 GM132063, our core participates in the training of graduate students in computational statistics. We provide training through journal club participation and mentoring students on their summer projects to develop analytic pipelines:
- Michael Anderson (Doctoral Student, Division of Biostatistics, School of Public Health): Mapping biological domains to ABCD mental health outcomes via Sparse PCA
- Christian Coffman (Doctoral Student, Division of Biostatistics, School of Public Health): Heritability of the variation in functional topology via adjHE
- Mykhaylo Malakhov (Doctoral Student, Division of Biostatistics, School of Public Health): Development of RNAseq pipelines