Online Courses and Tutorials provides you with the latest online courses information by assisting over 45,000 courses and 1 million students.

Learn programming, marketing, data science and more.

Get started today

Skip to main content

Теория отраслевых рынков (Industrial Organization)

About this course: Курс посвящен факторам, влияющим на размер компаний и структуру рынка. Почему на одних рынках преобладают малые компании, а на другом крупные? Продавцы принимают решения стратегически, однако их стимулы в свою очередь зависят от структуры рынка и от предшествующих решений. Как разделить между зоной предопределенных и свободных решений? Например, сговор как модель ценового поведения – предопределен структурой рынка или служит результатом свободного волеизъявления? Способны ли укоренившиеся на рынке продавцы препятствовать входу новичков, защищая свою рыночную долю и свою прибыль? Каковы лучшие способы предотвращения ценовых сговоров продавцов? Нужно ли (или по крайней мере желательно) запрещать или ограничивать слияния между крупными продавцами? Есть ли необходимость для государственной политики налагать ограничения на условия договоров между производителем и дистрибьютором? Как в этих условиях должна быть организована государственная политика (применение антимоноп…

Finding Hidden Messages in DNA (Bioinformatics I)

Finding Hidden Messages in DNA (Bioinformatics I)

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.

Who is this class for: This course is primarily aimed at undergraduate-level learners in computer science, biology, or a related field who are interested in learning about how the intersection of these two disciplines represents an important frontier in modern science.

Created by:  University of California, San Diego

  • Pavel  Pevzner
    Taught by:  Pavel Pevzner, Professor
    Department of Computer Science and Engineering

  • Phillip E. C. Compeau
    Taught by:  Phillip E. C. Compeau, Postdoctoral Researcher
    Computer Science & Engineering, UC San Diego
Basic Info
Course 1 of 7 in the Bioinformatics Specialization.
Commitment4-10 hours/week
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 4.7See what learners said
Week 1: Welcome!
<p>Welcome to class!</p><p>This course will focus on two questions at the forefront of modern computational biology, along with the algorithmic approaches we will use to solve them in parentheses:</p><ol><li>Weeks 1-2: Where in the Genome Does DNA Replication Begin? (<em>Algorithmic Warmup</em>)</li><li>Weeks 3-4: Which DNA Patterns Play the Role of Molecular Clocks? (<em>Randomized Algorithms</em>)</li></ol><p>Week 5 will consist of a Bioinformatics Application Challenge in which you will get to apply software for finding DNA motifs to a real biological dataset.</p><p>Each of the two chapters in the course is accompanied by a Bioinformatics Cartoon created by Randall Christopher. You can find the first chapter's cartoon at the bottom of this message. What does a cryptic message leading to buried treasure have to do with biology? We hope you will join us to find out!</p><p><img src="" title="Image:" width="500"></p>d
3 videos3 readings
  1. Video: (Check Out Our Wacky Course Intro Video)
  2. Reading: Course Details
  3. LTI Item: Stepik Interactive Text for Week 1
  4. Video: Where in the Genome Does DNA Replication Begin? (Part 1) (11:37)
  5. Video: Where in the Genome Does DNA Replication Begin? (Part 2) (06:24)
  6. Reading: Week 1 FAQs (Optional)
  7. Reading: What is Pseudocode? (Optional)
Graded: Week 1 Quiz
Graded: Open in order to Sync Your Progress: Stepik Interactive Text for Week 1
Week 2: Finding Replication Origins
<p>Welcome to Week 2 of class!</p> <p>This week, we will examine the biological details of how DNA replication is carried out in the cell. We will then see how to use these details to help us design an intelligent algorithmic approach looking for the replication origin in a bacterial genome.</p>
2 videos1 reading
  1. LTI Item: Stepik Interactive Text for Week 2
  2. Video: Where in the Genome Does DNA Replication Begin? (Part 3) (09:05)
  3. Video: Where in the Genome Does DNA Replication Begin? (Part 4) (04:10)
  4. Reading: Week 2 FAQs (Optional)
Graded: Week 2 Quiz
Graded: Open in order to Sync Your Progress: Stepik Interactive Text for Week 2
Week 3: Hunting for Regulatory Motifs
<p>Welcome to Week 3 of class!</p> <p>This week, we begin a new chapter, titled "Which DNA Patterns Play the Role of Molecular Clocks?" At the bottom of this message is this week's Bioinformatics Cartoon. &nbsp;What does a late night casino trip with two 18th Century French mathematicians have in common with finding molecular clocks? &nbsp;Start learning to find out...</p> <p><img src="" title="Image:" width="528"></p>
3 videos1 reading
  1. LTI Item: Stepik Interactive Text for Week 3
  2. Video: From Implanted Patterns to Regulatory Motifs (Part 1) (10:09)
  3. Video: From Implanted Patterns to Regulatory Motifs (Part 2) (05:06)
  4. Video: From Implanted Patterns to Regulatory Motifs (Part 3) (07:22)
  5. Reading: Week 3 FAQs (Optional)
Graded: Week 3 Quiz
Graded: Open in order to Sync Your Progress: Stepik Interactive Text for Week 3
Week 4: How Rolling Dice Helps Us Find Regulatory Motifs
<p>Welcome to Week 4 of class!</p> <p>Last week, we encountered a few introductory motif-finding algorithms. This week, we will see how to improve upon these motif-finding approaches by designing randomized algorithms that can "roll dice" to find motifs.</p> 
3 videos1 reading
  1. LTI Item: Stepik Interactive Text for Week 4
  2. Video: How Rolling Dice Helps Us Find Regulatory Motifs (Part 1) (12:43)
  3. Video: How Rolling Dice Helps Us Find Regulatory Motifs (Part 2) (05:37)
  4. Video: How Rolling Dice Helps Us Find Regulatory Motifs (Part 3) (07:46)
  5. Reading: Week 4 FAQs (Optional)
Graded: Week 4 Quiz
Graded: Open in order to Sync Your Progress: Stepik Interactive Text for Week 4
Week 5: Bioinformatics Application Challenge
Welcome to week 5 of the class! This week, we will apply popular motif-finding software in order to hunt for motifs in a real biological dataset. 
Graded: Bioinformatics Application Challenge
How It Works
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
University of California, 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.
Learn more about this course


Popular posts from this blog

An Introduction to Interactive Programming in Python (Part 1)

About this course: This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch. Part 1 of this class will culminate in building a version of the classic arcade game "Pong".
Who is this class for: Recommended Background - A knowledge o…

Introduction to Data Science in Python

About this course: This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it,  manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Ne…

Learn to Program and Analyze Data with Python

About This Specialization This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization. Created by: 5 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or LinkedIn. Courses