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第 4 门课程(共 4 门)
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中级
完成时间大约为9 小时
英语(English)
字幕:英语(English)
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 4 门课程(共 4 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为9 小时
英语(English)
字幕:英语(English)

提供方

多伦多大学 徽标

多伦多大学

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 20 分钟

Exploring your gene of interest with online databases

完成时间为 20 分钟
2 个阅读材料
2 个阅读材料
First impressions from genomic databases10分钟
Gene expression analysis10分钟
1 个练习
Week 1 Quiz
2

2

完成时间为 20 分钟

Identifying genes related to your gene of interest

完成时间为 20 分钟
2 个阅读材料
2 个阅读材料
Coexpression analysis10分钟
Promoter analysis10分钟
1 个练习
Week 2 Quiz
3

3

完成时间为 20 分钟

Analysis of the function of your gene of interest and its network of genes

完成时间为 20 分钟
2 个阅读材料
2 个阅读材料
Functional classification and pathway visualization10分钟
Network exploration10分钟
1 个练习
Week 3 Quiz
4

4

完成时间为 4 小时

Lab report draft

完成时间为 4 小时
2 个阅读材料
2 个阅读材料
Example essay10分钟
Get a gene of unknown function...10分钟

审阅

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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....
Plant Bioinformatic Methods

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