Essentials of RNA-seq analysis
Lecturers and Teaching Assistants
Dr. Ester Feldmesser, Dr. Dena Leshkowitz, Dr. Bareket Dassa, Dr. Noa Wigoda
Course Schedule and Location
Thursday, 09:15 - 11:00, Musher, Lab 3
Field of Study, Course Type and Credit Points
Life Sciences: Lecture; Elective; Regular; 1.00 points
Life Sciences (Computational and Systems Biology Track): Lecture; Elective; Regular; 1.00 points
Benoziyo Biochemistry, room 290c
This course will consist of seven sessions (two hours each) and will cover basic concepts of RNA-Seq analyses.
The course will include hands-on training. Active learning and participation will be required.
Attendance and participation
Estimated Weekly Independent Workload (in hours)
- Introduction to RNA-Seq
- Experimental design
- Library preparation, Illumina sequencing & Quality Control
- RNA-Seq gene level differential expression and Mars-Seq analysis
- Clustering analysis on gene expression data
- Functional analysis: Gene Ontology and pathways
- Critical review of an example RNA-Seq paper
Upon successful completion of the course students will be able to:
- Demonstrate familiarity with the common applications of RNA sequencing.
- Perform & discuss the basics steps of data analysis, using web tools.
- Troubleshoot RNA-Seq results.
- Extract the biological meaning of the results.