Winter 2022 Courses

This page shows all courses currently scheduled for Winter Session. Courses will be continued to be added until October, so check back regularly. For complete course details and enrollment information, check the Student Administration system.

5671. Advanced Theory and Practice of Laboratory Techniques in Microbiology

1.00 credits | May be repeated for a total of 10 credits.

Prerequisites: None.

Grading Basis: Graded

Advanced training in microbiology related technologies such as next-generation sequencing and other "omic" techniques including experimental design, sample preparation, library preparation, quality control, analysis of large data sets and processing of large number of samples will be covered. The course is taught as a series of modules with each focused on a different technique. With change of content, may be repeated for credit.


Last Refreshed: 18-MAY-22 05.20.05.762533 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Winter 2022 1081 Storrs In Person Graf, Joerg 1 INT Mo 9:00am‑5:00pm
Tu 9:00am‑5:00pm
We 9:00am‑5:00pm
0/4 Contact elaine.mirkin@uconn.edu for permission number. Prerequisite is MCB 5427 Introduction to Molecular Biology Techniques or permission of instructor. Participants will learn how to program and use Eppendorf’s EpiMotion 5073. In addition, students will learn how to use a fluorescent plate reader and a capillary gel electrophoresis system (QIAxcel). Students will also be trained in using multi-channel and electric hand-held pipettes.
Winter 2022 1140 Storrs In Person Testerman, Todd
Crandall, Kelly
Graf, Joerg
2 INT Th 9:00am‑5:00pm
Fr 9:00am‑5:00pm
Mo 9:00am‑5:00pm
Tu 9:00am‑5:00pm
We 9:00am‑5:00pm
5/6 Contact elaine.mirkin@uconn.edu for permission number. Prerequisite is MCB 5427 or permission from the instructor. In this module, students will learn the principles of NextGeneration Sequencing using an Illumina MiSeq and microbiome analyses. Each student will sequence the V4 region of the 16S rRNA genes of a microbial community. Students will learn how to prepare the libraries for running on the MiSeq and analyze the data after the run is completed. The data analysis involves a QIIME pipeline that is widely used to analyze microbiome datasets.