Canal-U

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

Part 1 : Genomic texts

Part 2 : Genes and proteins

Part 3 : Gene prediction

Part 4 : Sequences comparison

Part 5 : Phylogenetic trees

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)