Master plant gene analysis using bioinformatics tools and databases to study gene function and networks.
Master plant gene analysis using bioinformatics tools and databases to study gene function and networks.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Plant Bioinformatic Methods Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
What you'll learn
Apply bioinformatics tools to analyze unknown plant genes
Use online databases to gather gene information
Perform coexpression and promoter analysis
Conduct Gene Ontology enrichment analysis
Develop hypotheses about gene function through data integration
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This capstone course focuses on applying bioinformatics tools to analyze plant genes of unknown function. Students learn to use genomic databases, gene expression analysis, and network exploration tools to hypothesize biological roles for uncharacterized genes. The curriculum covers coexpression analysis, promoter analysis, and functional classification through hands-on projects culminating in a comprehensive lab report.
Exploring your gene of interest with online databases
Module 1 · 0 Hours to complete
Identifying genes related to your gene of interest
Module 2 · 0 Hours to complete
Analysis of the function of your gene of interest and its network of genes
Module 3 · 0 Hours to complete
Lab report draft
Module 4 · 4 Hours to complete
Final copy of lab report
Module 5 · 4 Hours to complete
Fee Structure
Instructor
Leader in Plant Cyberinfrastructure and Bioinformatics Research
Nicholas Provart, a professor of Plant Cyberinfrastructure and Systems Biology at the University of Toronto, earned his Ph.D. from the Free University of Berlin in 1996. After co-founding a plant biotechnology company in Germany, he joined Syngenta’s Torrey Mesa Research Institute in San Diego, where he analyzed arabidopsis gene expression. Since 2002, he has developed online bioinformatic resources like the Bio-Analytic Resource, widely used by plant researchers. His lab also tests plant stress response hypotheses. Dr. Provart has held leadership roles in bioinformatics education, genome biology programs, and international Arabidopsis research committees.
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