RNA-Seq Data Analysis  
October 14 - 30 2019

The Bioinformatics Facility will offer three data analysis workshops this year, including RNA-Seq Data Analysis, Genomic Sequence Data Analysis, and Genome Annotation and Sequence Based Gene Function Prediction. 

The first workshop, RNA-Seq Data Analysis will have three sessions, covering reference guided transcript quantification, de novo transcriptome assembly, and statistics of RNA-seq data analysis. 

Every workshop will include lectures and practical exercises, that can be conducted on your own machine, or on BioHPC Lab workstations especially reserved for the workshop. Our workstations run Linux operating system, so if you are going to use our machines and are new to Linux computing environment you may want to attend our free  workshops "Introduction to BioHPC Lab" and "Linux for Biologists". You can also use both workshop materials posted online to refresh your Linux skills:

Linux for Biologists Part 1   Linux for Biologists Part 2   Linux for Biologists Part 3

Access to BioHPC Lab workstations requires a Lab account. If you do not yet have an account on BioHPC Lab system, we will create one for you. Also, we will assign a machine for you to work on during  the workshop (during and after the sessions). Machine reservations will be active from October 24th until end of the day November 13th.

Machine allocations will be posted here.

Workshop Outline
Session 1 10/14/2019 3:30:00 PM 655 Rhodes Hall
This session will cover introduction to RNA-Seq, sequence reads alignment and data QC. Slides: RNA-Seq-2019-lecture1.pdf Exercises: RNA-Seq-2019-exercise1.pdf  ( HTML version: RNA-Seq-2019-exercise1.html )
Session 2 10/16/2019 3:30:00 PM 655 Rhodes Hall
Hands-on session
Session 3 10/21/2019 3:30:00 PM 655 Rhodes Hall
This session will cover de novo transcriptome assembly, assembly evaluation and other downstream data analysis.
Session 4 10/23/2019 3:30:00 PM 655 Rhodes Hall
Hands-on session
Session 5 10/28/2019 3:30:00 PM 655 Rhodes Hall
This session will cover statistics of RNA-seq data analysis.
Session 6 10/30/2019 3:30:00 PM 655 Rhodes Hall
Hands-on session
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