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Spe Prob/Ent/Nem & Plant Path - 84727 - EPP 531 - 004 |
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This one-credit course meets for ONE WEEK, June 12-June16. This section will cover computational analysis of RNASeq data. Students will learn the basics of using a command line interface on UT’s Linux-based computational resources to analyze RNASeq data. Basic steps such as quality assessment, read mapping and differential gene expression statistical analysis will be covered. This class meets in PBB 113.
Associated Term: Summer Sem 2017 Registration Dates: 01-Mar-2017 to 05-Jun-2017 Levels: Graduate, Undergraduate Attributes: Variable Title Course UT Knoxville Campus Lecture Schedule Type Conventional Methodology Instructional Method 1.000 TO 3.000 Credits View Catalog Entry |
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