Finding Mutations in DNA and Proteins (Bioinformatics VI)

  • 4.7
Approx. 24 hours to complete

Course Summary

Learn about DNA mutations and their impact on human health and disease with this introductory course. Discover the latest research and techniques used in the field of genetics.

Key Learning Points

  • Explore the different types of DNA mutations and their effects on gene expression.
  • Understand how mutations can lead to genetic diseases and cancer.
  • Learn about the latest tools and techniques used in genetic research.

Related Topics for further study


Learning Outcomes

  • Understand the different types of DNA mutations and their effects on gene expression.
  • Learn how mutations can lead to genetic diseases and cancer.
  • Become familiar with the latest tools and techniques used in genetic research.

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of biology and genetics.
  • Access to a computer and the internet.

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Genetics and Society
  • Introduction to Bioinformatics
  • Molecular Biology

Related Education Paths


Related Books

Description

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.

Outline

  • Week 1: Introduction to Read Mapping
  • (Check Out Our Wacky Course Intro Video!)
  • Why Do We Map Reads?
  • Using the Trie
  • From a Trie to a Suffix Tree
  • Course Details
  • How Do We Find Disease-Causing Mutations? (Week 1)
  • Week 2: The Burrows-Wheeler Transform
  • String Compression and the Burrows-Wheeler Transform
  • Inverting Burrows-Wheeler
  • Using Burrows-Wheeler for Pattern Matching
  • Week 3: Speeding Up Burrows-Wheeler Read Mapping
  • Finding the Matched Patterns
  • Setting Up Checkpoints
  • Inexact Matching
  • Further Applications of Read Mapping
  • How Do We Find Disease-Causing Mutations? (Weeks 2-3)
  • Week 4: Introduction to Hidden Markov Models
  • Classifying HIV Phenotypes
  • Gambling with Yakuza
  • From a Crooked Casino to a Hidden Markov Model
  • The Decoding Problem
  • The Viterbi Algorithm
  • Week 5: Profile HMMs for Sequence Alignment
  • Profile HMMs for Sequence Alignment
  • Classifying Proteins with Profile HMMs
  • Viterbi Learning
  • Soft Decoding Problem
  • Baum-Welch Learning
  • Why Have Biologists Still Not Developed an HIV Vaccine? (Weeks 4-5)
  • Week 6: Bioinformatics Application Challenge

Summary of User Reviews

Discover how DNA mutations occur and how they can lead to genetic diseases. This course is highly recommended by students who found it informative and engaging. One key aspect that many users thought was good is the use of real-life examples to explain complex concepts.

Pros from User Reviews

  • Well-structured content that is easy to understand
  • Engaging lectures with real-life examples
  • Great course for beginners and experts alike
  • Excellent resources for further learning

Cons from User Reviews

  • Lack of interaction with course instructors
  • Some technical difficulties with video lectures
  • Not enough practice questions
  • Lack of peer interaction
English
Available now
Approx. 24 hours to complete
Pavel Pevzner, Phillip Compeau
University of California San Diego
Coursera

Instructor

Pavel Pevzner

  • 4.7 Raiting
Share
Saved Course list
Cancel
Get Course Update
Computer Courses