- Science Info Lycée Profs : conférences de formation des professeurs du secondaire en science informatique. (88)
- Colloquium Jacques Morgenstern : recherches en STIC - nouveaux thèmes scientifiques, nouveaux domaines d’application, et enjeux (61)
- Science Info Lycéens : contenus d'enseignements pour les lycéens en science informatique. (2)
- Forum des lauréats en informatique et mathématiques appliquées 2013 (11)
- Inria Joint Laboratory
- Les enjeux du Web 3.0 dans le secteur culturel (8)
- Colloque Interfaces (2)
- Cours en ligne
- Web sémantique et Web de données
- Bases de données relationnelles : comprendre pour maîtriser
- Bioinformatique : algorithmes et génomes
- Mobile Robots and Autonomous Vehicles
- Live Object Programming in Pharo
- 1 : Welcome on Board and Syntax Discovery (11)
- 2 : Pharo Syntax, Blocks and Inspector (16)
- 3 : Design, Class Methods and Collections (14)
- 4 : Inheritance & Lookup and Web Development (15)
- 5 : Exception, Debugging and Reflection (14)
- 6 : Rethink Lookup and Advanced Object-Oriented Design (12)
- 7 : More on Object-Oriented Design and Testing (11)
- Code-Based Cryptography
- Binaural Hearing for Robots
- Internet Measurements: a Hands-on Introduction
- Bioinformatics: Genomes and Algorithms
- Accessibilité numérique
- Introduction to a Web of Linked Data
- Rencontres autour d'un sujet scientifique : Unithé ou café
- Séminaires scientifiques
- ERC Nemo

Inria
Bioinformatics: Genomes and Algorithms
About the Course
In this course, you will discover how computer science supports the interpretation of the text of genomes. Running the adequate programs, a computer may produce predictions on the location of the thousands of genes in a living organism and the functions of the proteins these genes code for.
You are not a biologist? Attending this course, you will be introduced to several entities and processes involved in the interpretation of the genomic texts: cell, chromosome, DNA, genome, genes, transcription, translation, proteins and many more.
You are not a computer scientist? This course is also an introduction to algorithms on character strings: pattern searching, sequence similarity, Markov chain models, or phylogenetic tree reconstruction are some basic algorithms which are implied in genome sequence analysis and will be explained.
You are neither a biologist nor a computer scientist? This course is a great opportunity to a joint approach to genomics and algorithmics, or if you prefer, to algorithmics and genomics.
Pre-Requisites
A scientific culture will make easier the understanding of the notions studied.
Course Summary
The material of this course come from a MOOC delivered on France Université Numérique :
https://www.fun-mooc.fr/courses/inria/41007/session01/about
- 1. Genomic texts (10)
- 2. Genes and proteins (10)
- 3. Gene prediction (10)
- 4. Sequences comparison (10)
- 5. Phylogenetic trees (7)