.svg){kind=logo}
Plant Bioinformatics
Master advanced plant genomics analysis techniques using modern bioinformatics tools, databases, and computational methods for research applications.
Master advanced plant genomics analysis techniques using modern bioinformatics tools, databases, and computational methods for research applications.
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.
4.8
(240 ratings)
10,846 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
Powered by
What you'll learn
Navigate plant genomic databases and analyze protein information
Perform expression and coexpression analysis
Conduct promoter analysis and identify regulatory elements
Utilize GO enrichment and pathway visualization tools
Explore protein-protein interaction networks
Skills you'll gain
This course includes:
3.4 Hours PreRecorded video
9 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 8 modules in this course
This comprehensive course explores modern plant bioinformatics tools and databases. Students learn to analyze genomic data, RNA-seq profiles, and protein interactions using various computational methods. The course covers genomic databases, expression analysis, coexpression tools, promoter analysis, GO enrichment, pathway visualization, and network exploration. Updated for 2024, it provides hands-on experience with current bioinformatics resources for plant research.
Plant Genomic Databases, and useful sites for info about proteins
Module 1 · 2 Hours to complete
Expression Analysis
Module 2 · 2 Hours to complete
Coexpression Tools
Module 3 · 2 Hours to complete
Sectional Quiz 1
Module 4 · 0 Minutes to complete
Functional Classification and Pathway Visualization
Module 6 · 2 Hours to complete
Network Exploration (PPIs, PDIs, GRNs)
Module 7 · 2 Hours to complete
Sectional Quiz 2 and Final Assignment
Module 8 · 0 Minutes 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.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.