Systems Biology [ LBRAI2219 ]

iCampus

Mathematics, informatics, biology, physiology and genetics (typ. masters BIRA et BBMC).

- Introduction to systems biology

- Introduction to notions of dynamic and compartmentalized networks

- Mathematical formalisms and software tools for the exploration of omics data

- Initiation to modelling (practicals)

a. Contribution of this activity to the program learning outcomes

M1.1, M1.2, M2.2, M2.3, M3.1, M3.6, M4.4, M6.1, M6.3, M6.4

b. Learning outcome specifics for this activity

At the end of the course, the student is able to :

·       approach the functioning of an organism in a systems framework and at multiple scales ;

·       explain the specifics of systems biology

·       recognise and understand a systems biology methodology

·       explore the litterature with professional databases (e.g. Scopus), contact and discuss with researchers in the field

·       present a subject in a synthetic and pedagocis way to the student room

Presentation of one or more seminar

Evaluation of the participation to the class work

Presentation of one or more seminars

Directed practicals (in classroom). Article reading, use of models or modeling languages.

Table of content

1. General view of systems biology

Systems theory and biology

Topology, graphs and network attributes

Node identification and interactions mapping

Network inference

Data integration

From structure to dynamics

2. Software tools for data mining of omics

3. Languages and case studies

L-Systems (structure) and FSPM (structure-function)

Interactions organism - environment

Case studies at different scales (gene network, cell, tissue, organ, organism)

Articles from litterature

(uploaded on iCampus).