你将学到什么
Bioinformatics
Graph Theory
Bioinformatics Algorithms
Python Programming
课程概况
Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different.
In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.
In the second half of the course, we will “zoom out” to compare entire genomes, where we see large scale mutations called genome rearrangements, seismic events that have heaved around large blocks of DNA over millions of years of evolution. Looking at the human and mouse genomes, we will ask ourselves: just as earthquakes are much more likely to occur along fault lines, are there locations in our genome that are “fragile” and more susceptible to be broken as part of genome rearrangements? We will see how combinatorial algorithms will help us answer this question.
Finally, you will learn how to apply popular bioinformatics software tools to solve problems in sequence alignment, including BLAST.
课程大纲
周1
完成时间为 5 小时
Week 1: Introduction to Sequence Alignment
周2
完成时间为 2 小时
Week 2: From Finding a Longest Path to Aligning DNA Strings
周3
完成时间为 4 小时
Week 3: Advanced Topics in Sequence Alignment
周4
完成时间为 4 小时
Week 4: Genome Rearrangements and Fragility
周5
完成时间为 3 小时
Week 5: Applying Genome Rearrangement Analysis to Find Genome Fragility
周6
完成时间为 4 小时
Week 6: Bioinformatics Application Challenge
