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.
提供方
生物信息学: 导论与方法
北京大学课程信息
22,553 次近期查看
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
完成时间大约为25 小时
英语（English）
字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
完成时间大约为25 小时
英语（English）
字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
北京大学
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.
授课大纲 - 您将从这门课程中学到什么
完成时间为 2 小时
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
完成时间为 2 小时
4 个视频 （总计 69 分钟）, 2 个阅读材料, 1 个测验
完成时间为 2 小时
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.
完成时间为 2 小时
7 个视频 （总计 99 分钟）, 2 个阅读材料, 1 个测验
完成时间为 2 小时
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.
完成时间为 2 小时
3 个视频 （总计 41 分钟）, 2 个阅读材料, 1 个测验
完成时间为 2 小时
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.
完成时间为 2 小时
4 个视频 （总计 47 分钟）, 2 个阅读材料, 1 个测验
审阅
- 5 stars64.28%
- 4 stars22.85%
- 3 stars6.66%
- 2 stars2.85%
- 1 star3.33%
来自生物信息学: 导论与方法的热门评论
由 AS 提供Aug 8, 2021
It was a very interesting course and opened up novel and new ways one can think for finding the predictable and the unpredictable properties.
由 WK 提供Dec 15, 2018
The course has given me a great way to learn Bioinformatics. I especially loved the mode of teaching and the case studies.
由 MM 提供Feb 22, 2021
I think its the best MOOC I have ever enrolled at.
由 OO 提供Oct 27, 2020
The course is very informative and also interesting. I am very glad I took the course
常见问题
我什么时候能够访问课程视频和作业？
我购买证书后会得到什么？
有助学金吗？
还有其他问题吗？请访问 学生帮助中心。
