Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.
提供方
课程信息
33,579 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。
第 1 门课程（共 4 门）
初级
完成时间大约为20 小时
英语（English）
字幕：英语（English）
您将获得的技能
- Genetic Analysis
- Bioinformatics Analysis
- Evolution
- Comparative Genomics
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。
第 1 门课程（共 4 门）
初级
完成时间大约为20 小时
英语（English）
字幕：英语（English）
提供方
多伦多大学
Established in 1827, the University of Toronto is one of the world’s leading universities, renowned for its excellence in teaching, research, innovation and entrepreneurship, as well as its impact on economic prosperity and social well-being around the globe.
授课大纲 - 您将从这门课程中学到什么
完成时间为 3 小时
NCBI/Blast I
In this module we'll be exploring the amazing resources available at NCBI, the National Centre for Biotechnology Information, run by the National Library of Medicine in the USA. We'll also be doing a Blast search to find similar sequences in the enormous NR sequence database. We can use similar sequences to infer homology, which is the primary predictor of gene or protein function.
完成时间为 3 小时
4 个视频 （总计 52 分钟）, 4 个阅读材料, 1 个测验
完成时间为 3 小时
Blast II/Comparative Genomics
In this module we'll continue exploring the incredible resources available at NCBI, the National Centre for Biotechnology Information. We will be performing several different kinds of Blast searches: BlastP, PSI-Blast, and Translated Blast. We can use similar sequences identified by such methods to infer homology, which is the primary predictor of gene or protein function. We'll also be comparing parts of the genomes of a couple of different species, to see how similar they are.
完成时间为 3 小时
4 个视频 （总计 58 分钟）, 2 个阅读材料, 1 个测验
完成时间为 3 小时
Multiple Sequence Alignments
In this module we'll be doing multiple sequence alignments with Clustal and MUSCLE (as implemented in MEGA), and MAFFT. Multiple sequences alignments can tell you where in a sequence the conserved and variable regions are, which is important for understanding the biology of the sequences under investigation. It also has practical applications, such as being able to design PCR primers that will amplify sequences from a number of different species, for example.
完成时间为 3 小时
4 个视频 （总计 46 分钟）, 2 个阅读材料, 1 个测验
完成时间为 1 小时
Review: NCBI/Blast I, Blast II/Comparative Genetics, and Multiple Sequence Alignments
完成时间为 1 小时
审阅
- 5 stars77.09%
- 4 stars18.49%
- 3 stars3.45%
- 2 stars0.38%
- 1 star0.57%
来自生物信息学方法 I的热门评论
由 PG 提供Jan 21, 2019
This course is so accurate and useful to the bioinformatic students and the science students who needs help with the computational biology. I would recommend this course to everyone.
由 RG 提供Nov 4, 2017
I enjoyed doing the course. It is exciting to see how much one can learn from a few gene or protein sequences. Thank you for making the course understandable to a beginner in bioinformatics!
由 DA 提供Jul 10, 2017
Useful and informative. This is the best bioinformatics course I have taken so far as it focusses on the practical applications instead of the theory which is much more relevant! Thank you!
由 SR 提供Sep 14, 2021
Explanation was on point. As a beginner didn't have to face much problem to understand terminologies and concepts and PDF of the study materials played an important role to understand.
关于 Plant Bioinformatic Methods 专项课程
The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.
常见问题
我什么时候能够访问课程视频和作业？
我订阅此专项课程后会得到什么？
有助学金吗？
还有其他问题吗？请访问 学生帮助中心。
