The June 2022 course has been changed to entirely online (previously advertised as in-person on the Duke campus).
There will be a mixture of lectures, coding practice and data analysis sessions. Course participants will work in small groups with mentoring from teaching assistants and course faculty to prepare, analyze and visualize data. For the capstone project, each group will present their research to all course participants and faculty. The first week of the course will cover preparatory material (e.g., fundamentals of bioinformatics, computational biology, cancer immunology, statistics, computing and programming). The second week will focus on analysis of single-cell RNA transcriptomics data.
The summer course will be limited to 36 students to optimize the student/faculty ratio and encourage interaction. 12 of these spots are reserved for students who completed the two-week sequence in Summer of 2021 the other 24 spots are open for anyone to apply.
Yes. If admitted, you will be required to attend the second week in its entirety. You have the option to attend the first week to review preparatory material. The first week will be largely the same as last year, but there will be minor modifications. We will make material from the first week available to returning participants, even if they do not attend the first week sessions.
The course is fully funded by the National Cancer Institute (NCI), which covers tuition, laboratory, and sequencing costs. As such, there will be no cost to course participants.
The course will be appropriate for participants at many levels of training including advanced undergraduate students, graduate students, postdoctoral fellows, medical doctors, laboratory managers and faculty.
We hope to host a diversity of students from both biological and quantitative disciplines such as mathematics, statistics and computer science. Under-represented minorities are strongly encouraged to apply.
Per NIH policy, the course is intended primarily for the education of U.S. citizens and permanent residents.
We will consider highly qualified international applicants who are either enrolled as students or employed by US based institutions or companies.
There is no fixed deadline for applications. We review completed applications on a rolling basis (beginning in early spring), and offer spots to highly qualified applicants until all spaces are filled. Once all spaces are filled, we maintain a waitlist in case there are cancellations.
If your application is accepted, your tuition and lab materials will be funded using federal funds provided by the U.S. National Institutes of Health (NIH). If you accept admission to the course, it is expected that you attend all scheduled sessions. Please refer to the posted schedule of classes for the specific days and times covered by this commitment. It is our expectation that you do not schedule conflicting events (e.g., vacations, or work, personal or scientific meetings) during these times. In the application, you will be explicitly asked to affirm your commitment of full attendance.
All students must be located physically within the United States throughout the duration of the course.
In order for your application to be considered, you must
- Complete and submit all mandatory portions of the online application form
- Provide two letters of reference
The application management system will automatically generate a link for submission of reference letters.
Course participants will receive neither credit nor a grade for attending the course, and the course will not be recorded in Duke University transcripts. Upon successful completion of the course, a participant will receive a certificate issued by the Department of Biostatistics and Bioinformatics. Successful completion requires:
- Regular attendance. Absences are only approved at the discretion of the course instructors.
- Completion of all assignments and quizzes.
- Attendance at the final group presentation.
The certificate will be signed by the course directors.
The course will be online. Students must be physically located within the United States throughout the duration of the course.
The course meets 9AM - 4PM Monday through Friday during the two-week period of 06/06/2022 – 06/17/2022.
The course provides access to server computing resources. You will need to use your own laptop or desktop to access these computing resources. If the course is transitioned to an online model, you will also need to have access to fast and reliable internet service.