Peking University
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
Peking University

Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

Taught in Chinese (Simplified)

42,789 already enrolled

Course

Gain insight into a topic and learn the fundamentals

Ge Gao 高歌, Ph.D.
Liping Wei 魏丽萍, Ph.D.

Instructors: Ge Gao 高歌, Ph.D.

4.4

(255 reviews)

24 hours to complete
3 weeks at 8 hours a week
Flexible schedule
Learn at your own pace

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Assessments

13 quizzes

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There are 14 modules in this course

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

What's included

4 videos2 readings1 quiz

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.

What's included

7 videos2 readings1 quiz

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.

What's included

3 videos2 readings1 quiz

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.

What's included

4 videos2 readings1 quiz

Upon completion of this module, you will be able to: describe the features of NGS; associate NGS results you get with the methods for reads mapping and models for variant calling; examine pipelines in NGS data analysis; experience how real NGS data were analyzed using bioinformatic tools. This module is required before entering Module 8.

What's included

8 videos2 readings1 quiz

Upon completion of this module you will able to: describe what is variant prediction and how to carry out variant predictions; associate variant databases with your own research projects after you get a list of variants; recognize different principles behind prediction tools and know how to use tools such as SIFT, Polyphen and SAPRED according to your won scientific problem.

What's included

6 videos2 readings1 quiz

The description goes here

What's included

1 quiz

Upon completion of this module, you will be able to: describe how transcriptome data were generated; master the algorithm used in transcriptome analysis; explore how the RNA-seq data were analyzed. This module is required before entering Module 9.

What's included

5 videos2 readings1 quiz

Upon completion of this module, you will be able to: Analyze non-coding RNAs from transcriptome data; identify long noncoding RNA (lncRNA) from NGS data and predict their functions.

What's included

6 videos2 readings1 quiz

Upon completion of this module, you will be able to: define ontology and gene ontology, explore KEGG pathway databses; examine annotations in Gene Ontology; identify pathways with KOBAS and apply the pipeline to drug addition study.

What's included

8 videos2 readings1 quiz

Upon completion of this module, you will be able to describe the most important bioinformatic resources including databases and software tools; explore both centralized resources such as NCBI, EBI, UCSC genome browser and lots of individual resources; associate all your bioinformatic problems with certain resources to refer to.

What's included

6 videos1 reading1 quiz

Upon completion of this case study module, you will be able to: experience how to apply bioinformatic data, methods and analyses to study an important problem in evolutionary biology; examine how to detect and study the origination, evolution and function of species-specific new genes; create phylogenetic trees with your own data (not required) with Dr. Manyuan Long, a world-renowned pioneer and expert on new genes from University of Chicago.

What's included

5 videos2 readings1 quiz

Upon completion of this case study module, you will be able to: experience how to use bioinformatic methods to study the function and evolution of DNA methylases; share with Dr. Gang Pei, president of Tongji University and member of the Chinese Academy of Science, the experiences in scientific research and thought about MOOC.

What's included

5 videos1 reading

The description goes here

What's included

1 quiz

Instructors

Instructor ratings
4.3 (43 ratings)
Ge Gao 高歌, Ph.D.
Peking University
2 Courses60,139 learners
Liping Wei 魏丽萍, Ph.D.
Peking University
2 Courses60,139 learners

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4.4

255 reviews

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LL
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Reviewed on Oct 9, 2019

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4

Reviewed on Apr 30, 2020

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