このコースについて
6,180 最近の表示

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

None required but you should be familiar with basic aspects of plant and molecular biology. Bioinformatic Methods I and II would be good preparation

約11時間で修了

推奨:6 weeks of hands-on study, plus 2 evaluation weeks. The hands-on modules will take 2-4 hours of time...

英語

字幕:英語

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

None required but you should be familiar with basic aspects of plant and molecular biology. Bioinformatic Methods I and II would be good preparation

約11時間で修了

推奨:6 weeks of hands-on study, plus 2 evaluation weeks. The hands-on modules will take 2-4 hours of time...

英語

字幕:英語

シラバス - 本コースの学習内容

1
3時間で修了

Plant Genomic Databases, and useful sites for info about proteins

In this module we'll be exploring several plant databases including Ensembl Plants, Gramene, PLAZA, SUBA, TAIR and Araport. The information in these databases allows us to easily identify functional regions within gene products, view subcellular localization, find homologs in other species, and even explore pre-computed gene trees to see if our gene of interest has undergone a gene duplication event in another species, all at the click of a mouse!

...
4件のビデオ (合計44分), 4 readings, 1 quiz
4件のビデオ
Summary1 分
4件の学習用教材
Acknowledgements10 分
Course Logistics10 分
Mini-lecture Notes10 分
Lab 1 -- Plant Genomic Databases and Tools for Exploring Protein Information1 時間 30 分
1の練習問題
Lab Quiz 1
2
2時間で修了

Expression Analysis

Vast databases of gene expression and nifty visualization tools allow us to explore where and when a gene is expressed. Often this information can be used to help guide a search for a phenotype if we don't see a phenotype in a gene mutant under "normal" growth conditions. We explore several tools for Arabidopsis data (eFP Browser, Genevestigator, TraVA DB, Araport) along with NCBI's Genome Data Viewer for RNA-seq data for other plant species. We also examine the MPSS database of small RNAs and degradation products to see if our example gene has any potential microRNA targets.

...
4件のビデオ (合計38分), 2 readings, 1 quiz
4件のビデオ
Summary50
2件の学習用教材
Mini-lecture Notes10 分
Lab 2 -- Expression Analysis1 時間 30 分
1の練習問題
Lab Quiz 2
3
2時間で修了

Coexpression Tools

Being able to group genes by similar patterns of expression across expression data sets using algorithms like WGCNA is a very useful way of organizing the data. Clusters of genes with similar patterns of expression can then be subject to Gene Ontology term enrichment analysis (see Module 5) or examined to see if they are part of the same pathway. What's even more powerful is being able to identify genes with similar patterns of expression without doing a single expression profiling experiment, by mining gene expression databases! There are several tools that allow you to do this in many plant species simply by entering a query gene identifier. The genes that are returned are often in the same biological process as the query gene, and thus this "guilt-by-association" paradigm is a excellent tool for hypothesis generation.

...
4件のビデオ (合計29分), 2 readings, 1 quiz
4件のビデオ
Summary49
2件の学習用教材
Mini-lecture Notes10 分
Lab 3 -- Coexpression Tools1 時間 30 分
1の練習問題
Lab Quiz 3
4

Sectional Quiz 1

...
1 quiz
1の練習問題
Sectional Quiz 1
4.8
8件のレビューChevron Right

Plant Bioinformatics からの人気レビュー

by QRMar 10th 2019

Very good course for mastering bioinformatics skills. Genetics and molecular biology students/professionals should take this course to augment their research skills.

by WHFeb 12th 2019

Great overview of the different tools available for plant bio

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Nicholas James Provart

Professor
Cell & Systems Biology

トロント大学(University of Toronto)について

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. ...

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