Genomes

 

 


 

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E.g., 2016-12-05
E.g., 2016-12-05
E.g., 2016-12-05
Dec 5th 2016

Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read short pieces of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces. We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. Finally, you will learn how to apply popular bioinformatics software tools to sequence the genome of a deadly Staphylococcus bacterium.

Average: 10 (1 vote)
Dec 5th 2016

After sequencing genomes, we would like to compare them. We will see that dynamic programming is a powerful algorithmic tool when we compare two genes (i.e., short sequences of DNA) or two proteins. When we "zoom out" to compare entire genomes, we will employ combinatorial algorithms.

Average: 5.4 (7 votes)
May 9th 2016

Ce cours explique comment l’informatique contribue à l’analyse de l’information génétique. Il introduit conjointement les notions de génomique et d’algorithmique impliquées. Dans ce cours, nous verrons comment l’informatique permet d’interpréter le texte des génomes. Doté d’algorithmes adaptés, mis en œuvre sous forme de programmes efficaces, l’ordinateur produit des prédictions quant à la localisation des milliers de gènes d’un organisme vivant et les fonctions que remplissent les protéines qu’ils codent.

Average: 3 (1 vote)
Oct 22nd 2014

This college-level course gives students a thorough understanding of gene function and inheritance, and enables them to apply this understanding to real-world issues, both personal and societal. This is Part 2 of a two-part course.

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