Individual & Population Variation in Biology, Medicine, & Society

Description: What are the challenges in analyzing and integrating big data from -omics technologies and clinical datasets, electronic health records? Objectives/Deliverables: 1) Hands on experience with handling big datasets (Hackathon); 2) Analysis of datasets that could feed into grant applications. (eg TOPMed, Alzheimer's GWAS?); 3) Review paper illustrating the technical and analytical challenges in doing these kinds of integrations, to be submitted for publication.

Working Group Schedule & Locations

Mon, 5/15  4 hr. kickoff meeting (10-12, break for lunch, 1-3)

• 10-12pm: WEL 3.134

• 1-3 pm: FNT 1.104

Tue-Thu, 5/16-5/18     10-12 each day

• Tue the 16th: POB 2.404B

• Wed the 17th: WEL 3.134

• Thur the 18th: WEL 3.134

Mon-Wed, 5/22-5/24   1-3

• Mon 22nd: PAT 142

• Tue 23rd: FNT 1.104

• Wed 24th: PAT 142

Topics to address:

1. Publicly available datasets – genomics and clinical
2. Creating/managing big data sets – QC, missing, merging phenotype and genotype data
3. Computing needs/resources
4. Multi-omics approaches
5. “Untrained” statistical methodology (e.g., machine learning, AI, Bayesian networks)

Potential components of a review paper that would identify:

1. Challenges
2. Opportunities
3. Needs
4. Next steps