System biology I and II

Coordinator(s)

Guillem Rigaill; Matthieu Jules; Anne Goelzer

Goals

System Biology I.Students will see different methods to produce transcriptome, ORFeome, proteome and interactome resources and how to integrate them in modeling approaches to have new insights on cellular processes. 

Systeme Biology II.Students will explore a number of mathematical approaches to tackle biological issues through the integration of "omics" data. The mathematical approaches include the methods known as constraint-based modeling, i.e. flux balance analysis, resource balance analysis, but also tools specific to the analysis of dynamic systems and Boolean systems.

Skills

On completion of the course, students will be able to:

Have a good understanding of the challenges posed by integration of omics data. They should be able to understand and summarize a scientific paper in the field. 

Understand and explain the challenges of using constraint-based modeling approaches to describe cellular behaviors

Summarize and present a scientific paper in the field.

Content

System biology I.Integrative approaches are key steps in the thorough exploitation of omics data and their translation into knowledge. In this module, students will have courses on the architecture and the machinery of the cell, and on the genome and epigenome organization. They will learn how to combine predictive and experimental approaches to decode the genomic information through the structural and functional annotation of genomes. The integration and the querying of heterogeneous data imply to perfectly know their origin in order to take into consideration their quality, relevance and confidence levels. The understanding of this approach is the basis of holistic analyses for systems biology. 
 System Biology II.Global analyses (omics) currently generate large datasets that do not capture the complexity of living systems. Systems Biology is an approach where omics data are integrated and exploited (compared) through mathematical models of biological systems or sub-systems. The complexity of biological systems and the diversity of issues to be considered require the use of different types of modelling.

Format

Lectures and practical tutorials will be intermixed during this 25h-course.

Language : English

Elective TU

ECTS : 4

Lectures : 18 ;  Directed Study : 18; Project : 20