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欢迎选修北京大学MOOC课程“生物信息学:导论与方法”。 近三十年来,生命科学与计算科学飞速发展。生物信息学是一门生命科学与计算科学的前沿交叉学科。生物信息学产生和迅猛发展的主要推动力来自于新一代测序等高通量技术在生命科学领域越来越广泛的应用。目前,人和很多动植物的基因组已经被测序出来。已知DNA序列的数量已超过20兆亿碱基,每五个月翻一番。这些前所未有的大数据中蕴藏着很多尚不为人知的新发现、新知识,给生命科学研究带来新的历史机遇。但是同时,这些大数据不仅数量巨大、持续呈现指数增长的趋势,而且噪音高,异构程度高。准确、快速地分析这些数据需要先进的计算方法。 生物信息学是一门强大的新技术,是用来分析、存储、搜索海量生物医学数据的信息技术和计算技术。另一方面,生物信息学是一种研究生命科学问题的新方法、新思路,是一种从全基因组出发、从系统水平出发、基于数据整合,提出新假说、发现新规律的研究方法。在这门“生物信息学:导论与方法”网上课程中,我们将向您系统地讲授生物信息学主要概念及方法。课程内容从基础的序列比对开始,循序渐进,围绕深度测序数据分析、计算基因组学、分子通路鉴定等当前研究的前沿热点内容进行介绍与讨论。进一步地,我们会以我们实验室自己开发的算法、软件及数据库为例,告诉您如何开发新的生物信息学技术。我们将用具体实例展示给您,如何用生物信息学的方法及研究思路来解决生命科学里的实际问题。我们也邀请到几位生命科学领域资深教授介绍相关的生物信息学重要工作及生物信息学在生命科学中的作用。 本课程材料采用 CC BY-NC-SA 协议开放共享。...
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Approx. 30 hours to complete

Sugerido: 视频,补充材料和测验共20小时...
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Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Approx. 30 hours to complete

Sugerido: 视频,补充材料和测验共20小时...
Comment Dots

Chinese (Simplified)

Legendas: Chinese (Simplified)...

Programa - O que você aprenderá com este curso

Week
1
Clock
2 horas para concluir

导论与历史

欢迎选学“生物信息学:导论与方法”网上课程!完成本模块的课程后你将可以:熟悉生物信息学的基本概念;了解生物信息这一年轻领域的历史;体会生物信息学的迅猛发展。课程补充材料可以加深你对课程讲座内容的理解,虽然小测和考试对这些内容不作要求。...
Reading
4 vídeos (Total de 67 min), 2 leituras, 1 teste
Video4 videos
什么是生物信息学 16min
生物信息学历史34min
中国大陆的生物信息学7min
Reading2 leituras
阅读参考10min
讲义10min
Quiz1 exercício prático
导论与历史20min
Week
2
Clock
3 horas para concluir

序列比对

完成本模块的课程后你将可以: 掌握基于动态规划编程思想的序列比对算法; 区分Needleman-Wunsch全局比对算法和Smith-Waterman局部比对算法; 了解空位罚分背后的原理和计算算法的复杂度将帮助你在你自己的研究中应用现有的生物信息学工具; 你还可以一睹Smith-Waterman算法的发明人Michael Waterman博士的风采。...
Reading
8 vídeos (Total de 114 min), 2 leituras, 1 teste
Video8 videos
利用动态规划进行全局比对15min
从全局比对到局部比对6min
考虑仿射空位罚分的序列比对,以及如何计算Needleman-Wunsch算法的时间复杂度6min
关于同源、相似性、相似性矩阵和点阵图10min
M.S. Waterman教授访谈 29min
学生课堂报告(一)18min
学生课堂报告(二)11min
Reading2 leituras
阅读参考10min
讲义10min
Quiz1 exercício prático
序列比对18min
Week
3
Clock
1 hora para concluir

序列数据库搜索

完成本模块的课程后你将可以:熟悉序列数据库搜索和最常见的序列数据库;领略BLAST背后算法的奥妙;掌握日后在你自己的科研项目中调节BLAST参数的方法。...
Reading
3 vídeos (Total de 37 min), 2 leituras, 1 teste
Video3 videos
BLAST算法初探10min
学生课堂报告15min
Reading2 leituras
阅读参考10min
讲义10min
Quiz1 exercício prático
序列数据库搜索10min
Week
4
Clock
2 horas para concluir

马尔可夫模型

完成本模块的课程后你将可以:了解状态转移、马尔科夫链、马尔科夫模型的基本概念;亲手完成一个隐马尔科夫模型;利用隐马尔可夫模型在一个实际的生物学问题中作出预测。...
Reading
7 vídeos (Total de 70 min), 2 leituras, 1 teste
Video7 videos
隐马尔可夫模型 9min
用隐马尔可夫模型建立预测模型 8min
学生课堂报告(一)16min
学生课堂报告(二)11min
学生课堂报告(三)8min
学生实践8min
Reading2 leituras
阅读参考10min
讲义10min
Quiz1 exercício prático
马尔可夫模型14min

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

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

  • 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.

  • 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.

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