Informações sobre o curso

17,139 visualizações recentes

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.

Course materials are available under the CC BY-NC-SA License.

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 21 horas para completar

Sugerido: 1-2 hours/week...

Inglês

Legendas: Inglês

Os alunos que estão fazendo este Course são

Biologists
Biostatisticians
Scientists
Pharmacists
Researchers

Os alunos que estão fazendo este Course são

Biologists
Biostatisticians
Scientists
Pharmacists
Researchers

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 21 horas para completar

Sugerido: 1-2 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana

1

2 horas para concluir

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

4 vídeos (Total 69 mín.), 2 leituras, 1 teste

4 videos

What is Bioinformatics19min

History of Bioinformatics30min

Bioinformatics in Mainland China8min

About This Course9min

2 leituras

Readings10min

Slides10min

1 exercício prático

Introduction and History of Bioinformatics20min

Semana

2

2 horas para concluir

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.

7 vídeos (Total 99 mín.), 2 leituras, 1 teste

7 videos

Essential Concepts13min

Global Alignment by Dynamic Programming14min

From Global to Local6min

Alignment with Affine Gap Penalty and Calculation of Time Complexity of The Needleman-Wunsch Algorithm6min

Interview with M. S. Waterman Waterman29min

Supplement on Homology & Similarity, Similarity Matrix and Dot Matrix (English Subtitles)10min

Student Presentation (English Subtitles)18min

2 leituras

Readings10min

Slides10min

1 exercício prático

Sequence Alignment18min

Semana

3

1 hora para concluir

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.

3 vídeos (Total 41 mín.), 2 leituras, 1 teste

3 videos

Sequence Databases12min

BLAST Algorithm: A Primer13min

Student Presentation (English Subtitles)15min

2 leituras

Readings10min

Slides10min

1 exercício prático

Sequence Database Search10min

Semana

4

1 hora para concluir

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.

4 vídeos (Total 47 mín.), 2 leituras, 1 teste

4 videos

From States to Markov Chain8min

Hidden Markov Model11min

Predict with Hidden Markov Model10min

Student Presentation16min

2 leituras

Readings10min

Slides10min

1 exercício prático

Markov Model 14min

Semana

5

2 horas para concluir

Next Generation Sequencing (NGS): Mapping of Reads From Resequencing and Calling of Genetic Variants

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.

8 vídeos (Total 85 mín.), 2 leituras, 1 teste

8 videos

From Sequencing to NGS10min

Reads Mapping and Variants Calling14min

Computer Lab: Reads mapping and variant calling (English Subtitles)7min

Supplement on reads mapping and variant calling (English Subtitles)9min

Supplement on genotyping (English Subtitles)18min

A quick tour to sequencer 1 - Ion Torrent PGM (English Subtitles)10min

A quick tour to sequencer 2 - 3730 Sanger sequencing (English Subtitles)3min

Student presentation (English Subtitles)9min

2 leituras

Readings10min

Slides10min

1 exercício prático

Next Generation Sequencing (NGS)10min

Semana

6

2 horas para concluir

Functional Prediction of Genetic Variants

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.

6 vídeos (Total 92 mín.), 2 leituras, 1 teste

6 videos

Overview of the Problem 17min

Variant Databases 10min

Conservation-Based and Rule-Based Methods: SIFT & PolyPhen17min

Classifier-Based Methods: SAPRED13min

Introduction to Support Vector Machine(SVM) (English Subtitles)18min

Student presentation (English Subtitles)14min

2 leituras

Readings10min

Slides10min

1 exercício prático

Functional Prediction of Genetic Variants14min

Semana

7

2 horas para concluir

Mid-term Exam

The description goes here

1 teste

1 exercício prático

Mid-term Review1h 40min

Semana

8

2 horas para concluir

Next Generation Sequencing: Transcriptome Analysis, and RNA-Seq

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.

5 vídeos (Total 67 mín.), 2 leituras, 1 teste

5 videos

Transcriptome: An Overview12min

RNA-Seq: Mapping & Assembling11min

Computer Lab: RNA-seq Data Analysis RNA-seq (English Subtitles)22min

Dr. Maynard Olson Talk9min

Student presentation (English Subtitles)11min

2 leituras

Readings10min

Slides10min

1 exercício prático

Next Generation Sequencing: Transcriptome Analysis, and RNA-Seq16min

Semana

9

2 horas para concluir

Prediction and Analysis of Noncoding RNA

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.

6 vídeos (Total 74 mín.), 2 leituras, 1 teste

6 videos

From Information to Knowledge10min

Data Mining: Identify long ncRNAs10min

Data Mining: Differential Expression and Clustering12min

Feature selection and Clustering (English Subtitles)14min

A quick tour to sequencer - illumina HiSeq & MiSeq (English Subtitles)13min

Student Presentation (English Subtitles)10min

2 leituras

Readings10min

Slides10min

1 exercício prático

Prediction and Analysis of Noncoding RNA14min

Semana

10

2 horas para concluir

Ontology and Identification of Molecular Pathways

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.

8 vídeos (Total 95 mín.), 2 leituras, 1 teste

8 videos

Ontology and Gene Ontology20min

KEGG Pathway Database 10min

Annotations in Gene Ontology 10min

Pathway Identification 22min

An Application: Common Molecular Pathways Underlying Addiction7min

Brief Introduction to Database (English Subtitles)5min

KOBAS Demo (English Subtitles)7min

Student presentation on KOBAS (English Subtitles)9min

2 leituras

Readings10min

Slides10min

1 exercício prático

Ontology and Identification of Molecular Pathways12min

Semana

11

2 horas para concluir

Bioinformatics Database and Software Resources

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.

6 vídeos (Total 71 mín.), 1 leitura, 1 teste

6 videos

Overview of Resources19min

National Center for Biotechnology Information13min

European Bioinformatics Institute 9min

UCSC Genome Browser7min

Individual Resources12min

CBI Resources Review (English Subtitles)8min

1 leituras

Slides10min

1 exercício prático

Bioinformatics Database and Software Resources10min

Semana

12

2 horas para concluir

Origination of New Genes

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.

5 vídeos (Total 60 mín.), 2 leituras, 1 teste

5 videos

New Gene Evolution Detected by Genomic Computation: Basic Concepts and Examples20min

New Gene Evolution Detected by Genomic Computation: A Driver for Human Brain Evolution7min

A Human-Specific de novo Gene Associated with Addiction8min

Origination of de novo Genes from Noncoding RNAs11min

Student Presentation (English Subtitles)12min

2 leituras

Readings10min

Slides10min

1 exercício prático

Origination of New Genes10min

Semana

13

1 hora para concluir

Evolution function analysis of DNA methyltransferase

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.

5 vídeos (Total 71 mín.), 1 leitura

5 videos

From Dry to Wet, an Evolutionary Story Part 16min

Project background introduction by Dr. Gang Pei25min

From Dry to Wet, an Evolutionary Story Part 28min

Talk with Dr. Gang Pei (English Subtitles)20min

Student Presentation (English Subtitles)10min

1 leituras

Slides10min

Semana

14

1 hora para concluir

Final Exam

The description goes here

1 teste

1 exercício prático

Final Exam1h 20min

Instrutores

Ge Gao 高歌, Ph.D.

Assistant Professor, Principle Investigator

Center for Bioinformatics, School of Life Science

Liping Wei 魏丽萍, Ph.D.

Professor, Director

Center for Bioinformatics, School of Life Sciences

Perguntas Frequentes – FAQ

Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao adquirir o Certificado?
Quando você adquire o Certificado, ganha acesso a todo o material do curso, incluindo avaliações com nota atribuída. Após concluir o curso, seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.

Bioinformática: Introdução e Métodos 生物信息学: 导论与方法

100% on-line

Prazos flexíveis

Aprox. 21 horas para completar

Inglês

100% on-line

Prazos flexíveis

Aprox. 21 horas para completar

Inglês

Programa - O que você aprenderá com este curso

Introduction and History of Bioinformatics

Sequence Alignment

Sequence Database Search

Markov Model

Next Generation Sequencing (NGS): Mapping of Reads From Resequencing and Calling of Genetic Variants

Functional Prediction of Genetic Variants

Mid-term Exam

Next Generation Sequencing: Transcriptome Analysis, and RNA-Seq

Prediction and Analysis of Noncoding RNA

Ontology and Identification of Molecular Pathways

Bioinformatics Database and Software Resources

Origination of New Genes

Evolution function analysis of DNA methyltransferase

Final Exam

40%

25%

Principais avaliações do Bioinformática: Introdução e Métodos 生物信息学: 导论与方法

Instrutores

Ge Gao 高歌, Ph.D.

Liping Wei 魏丽萍, Ph.D.

Sobre Universidade de PequimUniversidade de Pequim

Perguntas Frequentes – FAQ