Course Identification

Title:

Frontiers in systems biology

Code:

20183281

Lecturers and Teaching Assistants

Lecturers:

Prof. Nir Friedman, Prof. Amos Tanay, Prof. Naama Barkai

TA's:

N/A

Course Schedule and Location

Year:

2018

Semester:

First Semester

When / Where:

Monday, 09:15 - 11:00, Belfer, Botnar Auditorium

First Lecture:

30/10/2017

Field of Study, Course Type and Credit Points

Life Sciences: Lecture; 2.00 points
Life Sciences (Systems Biology Track): Elective; 2.00 points
Life Sciences (Molecular and Cellular Neuroscience Track): Elective; 2.00 points
Life Sciences (Computational and Systems Biology Track): Elective; 2.00 points

Comments

N/A

Prerequisites

No

Restrictions

Participants:

80

Language of Instruction

English

Attendance and participation

Required in at least 80% of the lectures

Grade Type

Pass / Fail

Grade Breakdown (in %)

Attendance

20%

Other :

80%

Evaluation Type

Other

Scheduled date 1

Date / due date

N/A

Location

N/A

Time

-

Remarks

Final presentations: 15/2, 10:00-13:00, and 18/2, 9:00-12:00

Estimated Weekly Independent Workload (in hours)

2

Syllabus

Each week, a leading researcher in Systems Biology will give a lecture, covering recent topics in the field. A wide range of topics will be covered, including: Single cell analysis; Modeling gene expression and gene regulatory networks; Design principles of biological regulatory systems; Quantitative understanding of dynamic metabolic systems; Systems immunology and virology; and Generating order in development.

At the end of the course, students will give a short presentation, based on topics covered in the course, in the form of a research proposal - relating topics from the course to their own research.

Lecturer	Date	Affiliation	Lecture Title
Michael Laub	30-10-17	Howard Hughes Medical Institute & Department of Biology, Massachusetts Institute of Technology	Mapping the structure and organization of bacterial genomes
Ken Wolfe	06-11-17
Prof. Santiago F. Elena	13-11-17		Epistasis, pleiotropy, the ruggedness of fitness landscape, and the Predictability of RNA virus evolution
Uwe Sauer	20-11-17
Dan Tawfik	27-11-17
Jörg Vogel	04-12-17		RNA-based Infection Biology
Dirk Schubeler	11-12-17
Mihaela Zavolan	18-12-17
Ron Dror	25-12-17		Atomic-level simulation: a computational microscope for molecular biology

Arjun Raj	08-01-18	University of Pennsylvania, Department of Bioengineering	Adventures in gene regulation from the single molecule perspective.
Anshul Kundaje	15-01-18	Dept. of Genetics, Dept. of Computer Science, Stanford University	Interpretable deep learning approaches for regulatory genomics
Francois Spitz	22-01-18
Nikolaus Rajewsky	29-01-18

Learning Outcomes

Upon successful completion of this course students should be able to:

Describe recent cutting edge developments in Systems Biology as presented by leading scientists in the field.
Critically assess current methodologies and important findings in the field
Relate their acquired knowledge and understanding of the concepts presented in the course to their own research

Reading List

A list of recommended papers will be provided before each lecture.

Website

N/A