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Finding Hidden Messages in DNA
Coursera
Course
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Finding Hidden Messages in DNA

University of California San Diego

Explore computational methods to discover hidden messages in DNA, applying algorithms to understand complex genomic data and molecular patterns.

Unknown5 weeksEnglish126,107 enrolled

About this Course

Named a top 50 MOOC of all time by Class Central! This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat. In the first half of the course, we investigate DNA replication, and ask the question, where in the genome does DNA replication begin? We will see that we can answer this question for many bacteria using only some straightforward algorithms to look for hidden messages in the genome. In the second half of the course, we examine a different biological question, when we ask which DNA patterns play the role of molecular clocks. The cells in your body manage to maintain a circadian rhythm, but how is this achieved on the level of DNA? Once again, we will see that by knowing which hidden messages to look for, we can start to understand the amazingly complex language of DNA. Perhaps surprisingly, we will apply randomized algorithms, which roll dice and flip coins in order to solve problems. Finally, you will get your hands dirty and apply existing software tools to find recurring biological motifs within genes that are responsible for helping Mycobacterium tuberculosis go "dormant" within a host for many years before causing an active infection

What You'll Learn

  • Understand methods to detect hidden messages in DNA
  • Apply randomized algorithms to genomic problems
  • Analyze DNA patterns using existing software tools
  • Explore molecular functions of DNA sequences
  • Develop computational skills in bioinformatics

Prerequisites

  • Basic familiarity with bioinformatics terminology
  • Readiness to engage in applied exercises

Instructors

P

Pavel Pevzner

Professor

P

Phillip Compeau

Visiting Researcher

Topics

Health Informatics
Health
Algorithms
Computer Science
Microbiology
Bioinformatics
Data Analysis
Biology
Biochemistry
Python Programming

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

علوم المعلومات الصحية
الصحة
خوارزميات
علوم الحاسوب
علم الأحياء الدقيقة
المعلوماتية الحيوية
تحليل البيانات
علم الأحياء
Biochemistry
Python Programming

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