• Anytime
    Application Deadline
  • 8 months
    Duration
This Plant Bioinformatic Methods Specialization offered by Coursera in partnership with University of Toronto is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. 
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Overview

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.

The Plant Bioinformatic Methods Specialization offered by Coursera in partnership with University of Toronto introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. 

In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.

A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.

Applied Learning Project

The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. 

In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 8 months
    • Intensity 2 hrs/week
    • Part-time variant
      Flexible
    • Duration description

      Approx. 8 months to complete

  • Languages
    • English
  • Delivery mode
    Online

Programme Structure

Courses included:

  • Bioinformatic Methods I
  • Bioinformatic Methods II
  • Plant Bioinformatics
  • Plant Bioinformatics Capstone

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Beginner Level

  • No prior experience required.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. 

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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