In previous courses in the Specialization, we have discussed how to sequence and compare genomes. This course will cover advanced topics in finding mutations lurking within DNA and proteins.
Ce cours fait partie de la Spécialisation Bioinformatique
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Université de Californie à San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
Programme de cours : ce que vous apprendrez dans ce cours
Week 1: Introduction to Read Mapping
<p>Welcome to our class! We are glad that you decided to join us.</p><p>In this class, we will consider the following two central biological questions (the computational approaches needed to solve them are shown in parentheses):</p><ol><li>How Do We Locate Disease-Causing Mutations? (<em>Combinatorial Pattern Matching</em>)</li><li>Why Have Biologists Still Not Developed an HIV Vaccine? (<em>Hidden Markov Models</em>)</li></ol><p>As in previous courses, each of these two chapters is accompanied by a Bioinformatics Cartoon created by talented artist Randall Christopher and serving as a chapter header in the Specialization's bestselling <a href="http://bioinformaticsalgorithms.com" target="_blank">print companion</a>. You can find the first chapter's cartoon at the bottom of this message. </p><p><img src="https://stepic.org/media/attachments/lessons/292/chapter7_cropped.jpg" title="Image: https://stepic.org/media/attachments/lessons/292/chapter7_cropped.jpg" width="528"></p>
Week 2: The Burrows-Wheeler Transform
<p>Welcome to week 2 of the class!</p>
Week 3: Speeding Up Burrows-Wheeler Read Mapping
<p>Welcome to week 3 of class!</p>
Week 4: Introduction to Hidden Markov Models
<p>Welcome to week 4 of class!</p>
Avis
- 5 stars73,21 %
- 4 stars23,21 %
- 3 stars1,78 %
- 2 stars1,78 %
Meilleurs avis pour FINDING MUTATIONS IN DNA AND PROTEINS (BIOINFORMATICS VI)
One of the best specialization on Coursera. Highly recommended for anyone who wants to apply his/her programming skills to fascinating real-world problems.
Really enjoyed this course. It was great to get to build on work from previous courses.
In depth and comprehensive coverage of the topics in genetic data analysis.
It was probably my favorite in this specialization (at least, out of first six).
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