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Comparing Genes, Proteins, and Genomes
Coursera
Course
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Comparing Genes, Proteins, and Genomes

University of California San Diego

Intermediate course focused on comparing genes, proteins, and genomes to understand species evolution and differences using dynamic programming algorithms.

Unknown6 weeksEnglish23,317 enrolled

About this Course

Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins. In the second half of the course, we will "zoom out" to compare entire genomes, where we see large scale mutations called genome rearrangements, seismic events that have heaved around large blocks of DNA over millions of years of evolution. Looking at the human and mouse genomes, we will ask ourselves: just as earthquakes are much more likely to occur along fault lines, are there locations in our genome that are "fragile" and more susceptible to be broken as part of genome rearrangements? We will see how combinatorial algorithms will help us answer this question. Finally, you will learn how to apply popular bioinformatics software tools to solve problems in sequence alignment, including BLAST

What You'll Learn

  • Understand gene and protein comparison methods using dynamic programming
  • Analyze mutations and genetic differences to trace evolutionary paths
  • Apply large-scale genome comparison techniques to detect major changes
  • Interpret genome rearrangements and their biological implications

Prerequisites

  • Basic familiarity with the topic and its terminology
  • Willingness to engage in applied exercises or case-based studies

Instructors

P

Pavel Pevzner

Professor

P

Phillip Compeau

Visiting Researcher

N

Nikolay Vyahhi

Visiting Scholar

Topics

Health Informatics
Health
Algorithms
Computer Science
Bioinformatics
Mathematical Modeling
Python Programming
Computer Programming Tools
Molecular Biology
Biology

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الإعلامية الصحية
الصحة
الخوارزميات
علوم الحاسوب
المعلوماتية الحيوية
النمذجة الرياضية
برمجة بايثون
أدوات برمجة الحاسوب
Molecular Biology
Biology

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