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.
1.00 credits | May be repeated for a total of 10 credits.
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: 14-JAN-22 05.20.17.205825 AM
|Term||Class Number||Campus||Instruction Mode||Instructor||Section||Session||Schedule||Location||Enrollment||Notes|
|1221 1081 INT 1||Winter 2022||1081||Storrs||In Person||Graf, Joerg||1||INT||Mo 9:00am‑5:00pm
|0/4||Contact firstname.lastname@example.org 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.|
|1221 1140 INT 2||Winter 2022||1140||Storrs||In Person||Testerman, Todd
|5/6||Contact email@example.com 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.|