UE Biostatistics, bioinformatics and molecular modeling (part II)

Degrees incorporating this pedagocial element :


This course is devoted to the tools and methods recently developed to generate, model and integrate high-throughput data from eukaryotic and bacterial samples in the context of systems biology. It focuses on three main aspects concerning , and . For each aspect, the lectures are divided into two parts with, on the one hand, the experimental procedures used to generate data and, on the other hand, the computational methods allowing to rationalize and integrate these data. Emphasis is placed on tutorials and discussions to help students in the realization of a research project that will be evaluated. In addition, an international leader in systems biology is invited to present recent developments in her/his domain.

(18 h):

1. Understanding metabolic networks

2. Rationalizing protein-protein interaction networks: structures and evolution

3. Dissecting regulatory networks: dynamical and motifs analyses

Each subpart (1, 2, 3) will last 6 hours (2/3 lectures, 1/3 tutorials).

(12 h):

  1. The DNA molecule: base composition and physical properties
  2. The chromatin: nucleosome positioning and histone marks
  3. Nuclear organization of chromosomes: functional role and computational modeling

Each subpart (1, 2, 3) will last 4 hours (2/3 lectures, 1/3 tutorials).

(6 h)

  1. Understanding how evolutionary processes affect the genome
  2. Using the genomic signatures left by evolutionary forces to :
  1. make inferences about the demographic history of populations
  2. Identify genes responsible for local adaptations, genetic diseases, and resistance to diseases

Each subpart will last 3 hours (1/2 lectures, 1/2 tutorials).



Targeted skills

1. Overview of the tools useful to describe the integrated functioning of organisms

2. Getting familiar with experimental methods of high-throughput biology

3. Getting familiar with computational methods, namely:

-       network representation, manipulation and modeling

-       physical and statistical description of chromosomes

-       comparison of genomes and population modeling