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There are numerous algorithms available as freeware or by public access in the cloud that make complex biological sequence analyses accessible to everyone. This self-paced, introductory course, aimed at professionals who want to break into the sequencing-related field of bioinformatics, explores important public access tools used for analyzing biological sequence data.
Through hands-on examples and exercises, you will learn how to access public databases for raw sequence data and perform the basic steps in processing next-generation sequence data for RNA, DNA, and ChIP sequencing data to obtain interpretable results.
You will get to explore the analytical parts of next-gen sequencing without having to do wet lab work because we’ve designed this course for people who are interested in a quick introduction to tools that allow for quick problem-solving without a deep theoretical understanding of how the tools work.
- Public access tools used for analyzing biological sequence data
At the conclusion of the course, you should be able to
- Process raw sequence for DNA and RNA for use in analytical algorithms
- Use Galaxy and R programs for performing data analyses
- Generate graphical outputs from the analytical results
- Annotate analytical results to convey biological meaning about the samples analyzed
- To be successful in this class all students should have working knowledge of Google Workspace or Microsoft Office, proper email etiquette, and an essential understanding of Canvas.
- A working knowledge of the concepts of molecular and cellular biology.
Most job postings for technicians and scientists in the molecular biology field ask for experience with next-gen sequencing. Having experience with the analytical tools is considered a plus on job applications.
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- Accessing Canvas
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Accessibility and Accommodation
For accessibility questions or to request an accommodation, please visit Access for Students with Disabilities or email the Extension registrar.
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|Date:||Start Time:||End Time:||Meeting Type:||Location:|
|Mon, 01-09-2023||12:01 a.m.||11:59 p.m.||Online Traditional||ONLINE|
|Mon, 04-10-2023||12:01 a.m.||11:59 p.m.||Online Traditional||ONLINE|