Course Summary
This course is designed for biologists who want to learn how to use bioinformatics tools to analyze plant genomics data. Students will learn the basics of data manipulation, visualization, and analysis using R and other bioinformatics software.Key Learning Points
- Learn to analyze plant genomics data using bioinformatics tools
- Gain proficiency in R and other bioinformatics software
- Understand data manipulation, visualization, and analysis techniques
Job Positions & Salaries of people who have taken this course might have
- USA: $80,000 - $120,000
- India: INR 6,00,000 - INR 12,00,000
- Spain: €30,000 - €50,000
- USA: $80,000 - $120,000
- India: INR 6,00,000 - INR 12,00,000
- Spain: €30,000 - €50,000
- USA: $60,000 - $100,000
- India: INR 4,00,000 - INR 8,00,000
- Spain: €25,000 - €40,000
- USA: $80,000 - $120,000
- India: INR 6,00,000 - INR 12,00,000
- Spain: €30,000 - €50,000
- USA: $60,000 - $100,000
- India: INR 4,00,000 - INR 8,00,000
- Spain: €25,000 - €40,000
- USA: $90,000 - $150,000
- India: INR 8,00,000 - INR 16,00,000
- Spain: €35,000 - €60,000
Related Topics for further study
Learning Outcomes
- Learn to use bioinformatics software for plant genomics data analysis
- Understand data manipulation, visualization, and analysis techniques
- Gain proficiency in R programming
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of biology and genetics
- Familiarity with programming concepts
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video Lectures
- Hands-on Exercises
Similar Courses
- Introduction to Bioinformatics
- Applied Bioinformatics
- Genomic Data Science
Related Education Paths
Notable People in This Field
- Plant Genomics Researcher
- Bioinformatics Analyst
Related Books
Description
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. For instance, knowing where and when a gene is expressed can help us narrow down the phenotypic search space when we don't see a phenotype in a gene mutant under "normal" growth conditions. Coexpression analyses and association networks can provide high-quality candidate genes involved in a biological process of interest. Using Gene Ontology enrichment analysis and pathway visualization tools can help us make sense of our own 'omics experiments and answer the question "what processes/pathways are being perturbed in our mutant of interest?"
Outline
- Plant Genomic Databases, and useful sites for info about proteins
- Introduction
- Mini-lecture
- Lab Discussion
- Summary
- Acknowledgements
- Course Logistics
- Mini-lecture Notes
- Lab 1 -- Plant Genomic Databases and Tools for Exploring Protein Information
- Expression Analysis
- Introduction
- Mini-lecture
- Lab Discussion
- Summary
- Mini-lecture Notes
- Lab 2 -- Expression Analysis
- Coexpression Tools
- Introduction
- Mini-lecture
- Lab Discussion
- Summary
- Mini-lecture Notes
- Lab 3 -- Coexpression Tools
- Sectional Quiz 1
- Promoter Analysis
- Introduction
- Mini-lecture
- Lab Discussion
- Summary
- Mini-lecture Notes
- Lab 4 -- Promoter Analysis
- Functional Classification and Pathway Vizualization
- Introduction
- Mini-lecture
- Lab Discussion
- Summary
- Mini-lecture Notes
- Lab 5 -- Functional Classification and Pathway Visualization
- Network Exploration (PPIs, PDIs, GRNs)
- Introduction
- Mini-lecture
- Lab Discussion
- Summary
- Mini-lecture Notes
- Lab 6 -- Network Exploration (PPIs, PDIs, GRNs)
- Sectional Quiz 2 and Final Assignment
Summary of User Reviews
Plant Bioinformatics course on Coursera is highly recommended by the users. The course has received positive reviews for its comprehensive content and engaging delivery.Key Aspect Users Liked About This Course
Many users praised the course for its practical approach to teaching plant bioinformatics.Pros from User Reviews
- Comprehensive content covering various aspects of plant bioinformatics.
- Engaging delivery with interactive assignments and quizzes.
- Practical approach to teaching plant bioinformatics.
- Access to resources and tools to enhance learning experience.
- Opportunity to learn from experienced instructors and collaborate with peers.
Cons from User Reviews
- Some users found the course challenging and required additional time and effort.
- Limited feedback on assignments and projects.
- Some technical issues with the online platform.
- Lack of real-time interaction with instructors.
- Not suitable for beginners with no prior knowledge of plant bioinformatics.
Nicholas James Provart
4.8 Raiting
Genomics: Decoding the Universal Language of Life
- 4.6
-
![]()
![]()
![]()
![]()
![]()
What is a genome? Genomes contain an organism’s complete set of genes, and also the even tinier genetic structures that help regulate when and how those genes are used....
Plant Bioinformatics
- 4.8
-
![]()
![]()
![]()
![]()
![]()
The past 15 years have been exciting ones in plant biology. These data sets in turn allow us to generate hypotheses at the click of a mouse....
Plant Bioinformatics Capstone
- 4.8
-
![]()
![]()
![]()
![]()
![]()
The past 15 years have been exciting ones in plant biology. In Plant Bioinformatics on Coursera. Asher Pasha programmed a gene ID randomizer....
