Computational Genomics - 22735 - BCHM 49500 - 002 Link Id: A1 Linked Sections Required(A2) |
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“This course introduces students to the basics of modern genomics and computational tools that will be used for screening. We will review the notion of gene, genome, transcriptome, and epigenome, and show how next generation sequencing technologies are utilized to measure these within cells.”
Associated Term: Fall 2019 Registration Dates: Mar 18, 2019 to Aug 25, 2019 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits Syllabus Available View Catalog Entry Course Materials
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R For Molecular Biosciences - 12883 - BCHM 49500 - 004 Link Id: A3 Linked Sections Required(A4) |
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Students will learn R to acquire, clean, explore and analyze biological data sets. Lectures and example data sets will show how data are linked to biological phenomena through human observation or instrumentation with inherent limitations. Students will learn how to organize data sets to optimize clarity and analytic possibilities while minimizing errors with examples drawn from the literature or biological databases. R programming will be taught starting with small-scale data such as drug sensitivity assays, qPCR, and metabolomics, moving to genome-scale analyses such as gene expression and pathway analysis later in the course. These skills will be taught in the light of enabling reproducible research through clear documentation of data sets and analyses. Relevant concepts from statistics will be reviewed, but it is assumed that students are familiar with basic statistical analyses.”
Associated Term: Fall 2019 Registration Dates: Mar 18, 2019 to Aug 25, 2019 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials
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