Computational Methods in Genetics (MA030482)
Given the wealth of raw genomics data, the challenge is now to get the most of observations.
Large amounts of genomic data allow unprecedented opportunities to map the genotypes and the traits. This raises the question of the most suitable computational methods to implement.
The course will first present the current methods used to estimate the recombination fraction and build genetic maps in plants and animals. Practicals and workshops will allow the attendees to succeed in computing linkage maps, in diverse situations in plants or animals.
The second corner-stone of analytical tools is Linear Models.
The matrix form of the Linear Mixed Model is an unprecedented and successful tool to decipher the phenotypes – genotypes relationships. This is due to its extraordinary flexibility, the improvement of computational resources, and the inclusion of genetic relationships among individuals into the models.
Practicals and workshops will allow the attendees to succeed in developing and implementing MLM, using real examples in a variety of biological questions.