Person in charge
Anne Vanet
Computational Biology
Objectifve
To address the discovery of mass data processing.
Lectures 10h
- Discovery of the Unix/Linux operating system
- Algorithmic base
- Discovery of some mathematical tools needed for mass data mining
- Basics of programming
Tutorial works 22h
- Analysis of data generated at high speed and free to use in international databases.
- The Unix-like operating system and python/perl/R languages will be used for computer analysis, but novices will be accompanied to be initiated.
Targeted skills
- To acquire theoretical and practical skills and knowledge in bioinformatics
- Determining a bioinformatics strategy to solve a biological problem
- Ability to interpret the results of a bioinformatics analysis
- Ability to use Biological Information Systems
- To master the theoretical and methodological concepts of bioinformatics for the analysis and comparison of biological sequences.
- To mobilize fundamental concepts of genetics, molecular biology, etc. to deal with a big data issue.
- To mobilize the concepts and tools of mathematics and computer science in the context of life sciences issues.
- To identify, select and apply a combination of analytical tools adapted to the analysis of genomic data
Interpreting experimental data