Genome Sequencing




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E.g., 2017-02-25
E.g., 2017-02-25
E.g., 2017-02-25
Feb 13th 2017

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 (2 votes)
Feb 13th 2017

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.

Average: 5.5 (4 votes)
Jan 23rd 2017

Learn how whole genome sequencing works and what it could mean for the future of healthcare with this free online course. Whole genome sequencing is a relatively new technology that allows us to ‘read’ a person’s or organism’s entire genetic code. But how does it work and what does it mean for all of us? How do scientists begin to make sense of the vast amount of information that whole genome sequencing provides? And what does this new technology mean for the future of healthcare and personalised medicine?

Average: 10 (1 vote)
Jan 25th 2016

This course will cover algorithms for solving various biological problems along with a handful of programming challenges testing your ability to implement these algorithms. It offers a gentler-paced alternative to the instructors' two other courses, Bioinformatics Algorithms (Part 1 and Part 2).

Average: 7 (4 votes)