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.
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
oferecido por
Peking University
Programa - O que você aprenderá com este curso
Semana
1Introduction 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 videos (Total 69 min), 2 leituras, 1 teste
4 videos
History of Bioinformatics30min
Bioinformatics in Mainland China8min
About This Course9min
2 leituras
Readings10min
Slides10min
1 exercício prático
Introduction and History of Bioinformatics20min
Semana
2Sequence 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 videos (Total 99 min), 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
3Sequence 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 videos (Total 41 min), 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
4Markov 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 videos (Total 47 min), 2 leituras, 1 teste
4 videos
Hidden Markov Model11min
Predict with Hidden Markov Model10min
Student Presentation16min
2 leituras
Readings10min
Slides10min
1 exercício prático
Markov Model 14min
Instrutores
Ge Gao 高歌, Ph.D.
Assistant Professor, Principle InvestigatorCenter for Bioinformatics, School of Life Science
Liping Wei 魏丽萍, Ph.D.
Professor, DirectorCenter for Bioinformatics, School of Life Sciences
Sobre 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.
Founded in 1898, Peking University (PKU) was the first national comprehensive university in China. For the past 115 years, with its hundreds of thousands of outstanding alumni, Peking University has made prominent contributions in the humanities and sciences to further China's prosperity and progress.
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.
O Coursera proporciona acesso universal à melhor educação do mundo fazendo parcerias com as melhores universidades e organizações para oferecer cursos on-line.
© 2018 Coursera Inc. Todos os direitos reservados.
