Finding Mutations in DNA and Proteins (Bioinformatics VI)

Course
en
English
24 h
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Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 6 Sequences
  • Introductive Level

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Course details

Syllabus

  • Week 1 - Week 1: Introduction to Read Mapping

    Welcome to our class! We are glad that you decided to join us.

    In this class, we will consider the following two central biological questions (the computational approaches needed to solve them are shown in parentheses):

    1. How Do We ...
    2. Week 2 - Week 2: The Burrows-Wheeler Transform

      Welcome to week 2 of the class!

      This week, we will introduce a paradigm called the Burrows-Wheeler transform; after seeing how it can be used in string compression, we will demonstrate that it is also the foundation of modern read-mapping algorithms...

    3. Week 3 - Week 3: Speeding Up Burrows-Wheeler Read Mapping

      Welcome to week 3 of class!

      Last week, we saw how the Burrows-Wheeler transform could be applied to multiple pattern matching. This week, we will speed up our algorithm and generalize it to the case that patterns have errors, which models the biolo...

    4. Week 4 - Week 4: Introduction to Hidden Markov Models

      Welcome to week 4 of class!

      This week, we will start examining the case of aligning sequences with many mutations -- such as related genes from different HIV strains -- and see that our problem formulation for sequence alignment is not adequate for ...

    5. Week 5 - Week 5: Profile HMMs for Sequence Alignment

      Welcome to week 5 of class!

      Last week, we introduced hidden Markov models. This week, we will see how hidden Markov models can be applied to sequence alignment with a profile HMM. We will then consider some advanced topics in this area, which are ...

    6. Week 6 - Week 6: Bioinformatics Application Challenge

      Welcome to the sixth and final week of class!

      This week brings our Application Challenge, in which we apply the HMM sequence alignment algorithms that we have developed.

Prerequisite

None.

Instructors

Pavel Pevzner
Professor
Department of Computer Science and Engineering

Phillip Compeau
Visiting Researcher
Department of Computer Science & Engineering

Editor

The University of California, San Diego is a public land-grant research university in San Diego, California. Established in 1960 near the pre-existing Scripps Institution of Oceanography, UC San Diego is the southernmost of the University of California's ten campuses and offers more than 200 undergraduate and graduate degree programs, enrolling 33,096 undergraduate students and 9,872 graduate students. 

UC San Diego is considered one of the best universities in the world. Several publications have ranked UC San Diego's Departments of Biological Sciences and Computer Science among the top 10 in the world.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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