Center for Quantitative Sciences Summer Institute 2024

July 22–26 and July 29–August 2, 2024

These great weeklong courses will sharpen your quantitative research skills and deepen your understanding of biostatistics and bioinformatics. Participants are highly encouraged to enroll in multiple courses. Food and parking are included with the in-person courses.

Tuition per course (in USD)
Regular: $950
Vanderbilt University / Vanderbilt University Medical Center faculty and staff: $700
Vanderbilt University / Vanderbilt University Medical Center students, trainees, and postdocs: $450
Please review your ticket selection carefully when checking out.
Register by 11:59 p.m. on June 5 for a 20% discount.

For full course descriptions and additional details, visit the Summer Institute webpage.

July 22–26, 9 a.m.-noon

This course will explore statistical, bioinformatic, and computational methods and tools for analyzing big omics data in biomedical research, including experimental design for omics research, RNA-sequencing, single-cell RNA-sequencing, and statistical and bioinformatic methods in high-dimensional data. Students will gain practical experience with RNA-seq and single-cell RNA-seq analysis, including read mapping, quantification, differential expression, cell clustering, and marker gene identification, as well as performing functional interpretation of results.

July 22–26, 1–4 p.m. via Zoom

The large-scale initiative collects data from over one million participants in the United States. It gathers diverse data types, such as survey data, electronic health records, physical measurements, mobile health data (Fitbit), whole genome sequences, and array data. This short course will (1) provide an overview of the Researcher Workbench and its built-in tools, (2)cover the process of identifying and extracting variables, and (3) feature case studies to illustrate using the Workbench to analyze various data types.
Limited to 30 attendees.

July 29–August 2, 9 a.m.–noon

This course will cover advanced statistical topics frequently used in biological and medical research. Emphasis will be placed on practical applications of statistical methods and interpretation of the results.

July 29–August 2, 1–4 p.m.

Many are familiar with the phrase “correlation does not imply causation,” but that then begs the question: what exactly is causation in the first place? In this five-day short course, we will introduce fundamentals of causal inference approaches.

Host or Publisher Jenny L. Jones