VOOZH about

URL: https://www.coursera.org/learn/plant-bioinformatics-capstone

⇱ Plant Bioinformatics Capstone | Coursera


Plant Bioinformatics Capstone

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Plant Bioinformatics Capstone

5,106 already enrolled

Included with

Ask Coursera

Gain insight into a topic and learn the fundamentals.
4.8

32 reviews

Intermediate level
Some related experience required
9 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.8

32 reviews

Intermediate level
Some related experience required
9 hours to complete
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is part of the Plant Bioinformatic Methods Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

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.

In Plant Bioinformatics on Coursera.org, we covered 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others, and in this Plant Bioinformatics Capstone we'll use these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report. This course is part of a Plant Bioinformatics Specialization on Coursera, which introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interactions, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II, in addition to the plant-specific concepts and tools introduced in Plant Bioinformatics and the Plant Bioinformatics Capstone. This course/capstone was developed with funding from the University of Toronto's Faculty of Arts and Science Open Course Initiative Fund (OCIF) and was implemented by Eddi Esteban, Will Heikoop and Nicholas Provart. Asher Pasha programmed a gene ID randomizer.

In the Week 1 module, we are going to use an example gene of (mostly) unknown function from Arabidopsis, At3g20300, and see what online databases can tell us about that gene. Part A uses tools that we have explored in Plant Bioinformatics to gather information about the gene/gene product, such as its size, what its homologs are, phylogenetic relationship to other sequences, domain information, and subcellular localization. Part B explores gene expression databases to see where that gene is expressed. Often where and when a gene is expressed can give us clues as to its function.

What's included

2 readings1 assignment

2 readingsTotal 20 minutes
  • First impressions from genomic databases10 minutes
  • Gene expression analysis10 minutes
1 assignment
  • Week 1 Quiz0 minutes

Often the function of genes that are coexpressed with a gene of unknown function can give us hints about the function of that gene. Researchers are now often using coexpression analyses as “primary screens” to identify “new” genes in biological pathways (a few examples are described in Usadel et al., 2009). Another interesting facet is whether the promoters of these sets of coexpressed genes contain any common cis-regulatory motifs. In Part A, we’ll explore the genes that are coexpressed with At3g20300, and in Part B, we’ll look for common regulatory motifs.

What's included

2 readings1 assignment

2 readingsTotal 20 minutes
  • Coexpression analysis10 minutes
  • Promoter analysis10 minutes
1 assignment
  • Week 2 Quiz0 minutes

Gene Ontology enrichment analysis for a set of coexpressed gene is often useful for figuring out what that group of genes is doing. By doing such analyses with a set of coexpressed genes can we infer a role for our gene of unknown function? We'll explore this aspect in Part A, along with investigating potential pathways the gene list is involved in. In Part B, we'll use other network tools to investigate additional linkages to other genes, above and beyond those suggested by coexpression. It is sometimes useful to investigate these too! Again, we'll be using At3g20300 as our example.

What's included

2 readings1 assignment

2 readingsTotal 20 minutes
  • Functional classification and pathway visualization10 minutes
  • Network exploration10 minutes
1 assignment
  • Week 3 Quiz0 minutes

Now we will take the above analyses and synthesize the information from them into a draft lab report/essay describing the putative function of our gene of interest with unknown function. We'll draw on the literature to describe what is known about related genes, and propose some experiments to test our hypotheses about our gene's potential function.

What's included

2 readings1 peer review

2 readingsTotal 20 minutes
  • Example essay10 minutes
  • Get a gene of unknown function...10 minutes
1 peer reviewTotal 240 minutes
  • Peer review of first draft of lab report240 minutes

Based on feedback from peer reviews, we'll polish our draft to submit a final report! The report should be around 13-15 pages long (double spaced) including figures, which should be included inline. The page count does not include Methods or References (see Example Essay for format).

What's included

1 peer review

1 peer reviewTotal 240 minutes
  • Peer review of final copy of lab report240 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Instructor ratings
4.7 (10 ratings)
University of Toronto
5 Courses136,256 learners

Explore more from Research Methods

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

  • 5 stars

    84.37%

  • 4 stars

    9.37%

  • 3 stars

    6.25%

  • 2 stars

    0%

  • 1 star

    0%

Showing 3 of 32

OA
·

Reviewed on Jun 5, 2023

The course was quite enlightening and educative. It has provided me with more information about other plant databases apart from NCBI that I know of.Thank you.

HD
·

Reviewed on Jun 22, 2020

Excellent bioinformatic training and experience. It gave me confidence in how to do the online work. Thank you.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.