Course Identification

Title:

Essentials of RNA-seq analysis

Code:

20233291

Lecturers and Teaching Assistants

Lecturers:

Dr. Ester Feldmesser, Dr. Dena Leshkowitz, Dr. Bareket Dassa, Dr. Noa Wigoda

TA's:

N/A

Course Schedule and Location

Year:

2023

Semester:

First Semester

When / Where:

Thursday, 09:15 - 11:00, Musher, Lab 3

First Lecture:

10/11/2022

End date:

10/02/2023

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

Comments

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.

Prerequisites

No

Restrictions

Participants:

25

Language of Instruction

English

Registration by

Registration By:12/10/2022

Attendance and participation

Obligatory

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

Attendance

10%

Assignments:

40%

Final:

50%

Evaluation Type

Final assignment

Scheduled date 1

Date / due date

N/A

Location

N/A

Time

-

Remarks

N/A

Estimated Weekly Independent Workload (in hours)

2

Syllabus

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

Learning Outcomes

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.

Reading List

N/A

Website

N/A