Course Structure

Through this course graduate students are eligible to receive credits for successfully completing the QCB Collaboratory Workshops.

Workshops are offered quarterly with the exception of summer. Each workshop runs for 2-3 days, 2-3 hours per day, and are held weekly. Attendance is mandatory for all days.

To receive course credit students must register for at least 3 workshops taught during the first or second five week sessions of the quarter, and enroll in 275A and/or B, respectively. If the course if full please request a PTE by emailing collaboratory@ucla.edu

Course Description

Bioinformatics 275A, 2 units

This lab course introduces graduate students to contemporary methods and techniques in bioinformatics that are used to analyze high-throughput genomic data. Workshops of one week each are offered throughout the grading period. Students select and complete three workshops taught during week 1 – 5, based on topics most relevant to their own research. Workshop topics include Introduction to the Unix command line, NGS data analysis, R Programming, BS-Seq, and many others.

Bioinformatics 275B, 2 units

This lab course exposes graduate students to contemporary methods and techniques in bioinformatics that are used to analyze high-throughput genomic data. Workshops of one week each on are offered throughout the grading period. Students select and complete three workshops taught during week 6 – 10, based on topics most relevant to their own research. Workshop topics include RNA, Python, Machine Learning, and Variant Calling.

For a complete list of workshops, click here: https://qcb.ucla.edu/collaboratory/schedule-of-workshops/

Grading

Courses are graded pass fail, based on successful completion of the three workshops, and attendance is required to receive credit.