A big welcome to “Bioinformatics: Introduction and Methods” from Peking University! In this MOOC you will become familiar with the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology, the knowledge and skills in bioinformatics you acquired will help you in your future study and research.
Offered By
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
Peking UniversityAbout this Course
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Learner Career Outcomes
40%
got a tangible career benefit from this course
25%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 24 hours to complete
English
Subtitles: English
Learner Career Outcomes
40%
got a tangible career benefit from this course
25%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 24 hours to complete
English
Subtitles: English
Offered by
Peking University
Peking University is determined to make its education openly accessible to students in China and around the world. With over 3000 faculty members, Peking University offers excellence in teaching and learning.
Syllabus - What you will learn from this course
2 hours to complete
Introduction and History of Bioinformatics
Welcome to “Bioinformatics: Introduction and Methods! Upon completion of this module you will be able to: become familiar with the essential concepts of bioinformatics; explore the history of this young area; experience how rapidly bioinformatics is growing. Our supplementary materials will give you a better understanding of the course lectures through they are not required in quizzes or exams
2 hours to complete
4 videos (Total 69 min), 2 readings, 1 quiz
4 videos
History of Bioinformatics30m
Bioinformatics in Mainland China8m
About This Course9m
2 readings
Readings10m
Slides10m
1 practice exercise
Introduction and History of Bioinformatics20m
2 hours to complete
Sequence Alignment
Upon completion of this module, you will be able to: describe dynamic programming based sequence alignment algorithms; differentiate between the Needleman-Wunsch algorithm for global alignment and the Smith-Waterman algorithm for local alignment; examine the principles behind gap penalty and time complexity calculation which is crucial for you to apply current bioinformatic tools in your research; experience the discovery of Smith-Waterman algorithm with Dr. Michael Waterman himself.
2 hours to complete
7 videos (Total 99 min), 2 readings, 1 quiz
7 videos
Global Alignment by Dynamic Programming14m
From Global to Local6m
Alignment with Affine Gap Penalty and Calculation of Time Complexity of The Needleman-Wunsch Algorithm6m
Interview with M. S. Waterman Waterman29m
Supplement on Homology & Similarity, Similarity Matrix and Dot Matrix (English Subtitles)10m
Student Presentation (English Subtitles)18m
2 readings
Readings10m
Slides10m
1 practice exercise
Sequence Alignment18m
1 hour to complete
Sequence Database Search
Upon completion of this module, you will be able to: become familiar with sequence databse search and most common databases; explore the algoritm behind BLAST and the evaluation of BLAST results; ajdust BLAST parameters base on your own research project.
1 hour to complete
3 videos (Total 41 min), 2 readings, 1 quiz
3 videos
BLAST Algorithm: A Primer13m
Student Presentation (English Subtitles)15m
2 readings
Readings10m
Slides10m
1 practice exercise
Sequence Database Search10m
1 hour to complete
Markov Model
Upon completion of this module, you will be able to: recognize state transitions, Markov chain and Markov models; create a hidden Markov model by yourself; make predictuions in a real biological problem with hidden Markov model.
1 hour to complete
4 videos (Total 47 min), 2 readings, 1 quiz
4 videos
Hidden Markov Model11m
Predict with Hidden Markov Model10m
Student Presentation16m
2 readings
Readings10m
Slides10m
1 practice exercise
Markov Model 14m
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
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Will I earn university credit for completing the Course?
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