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Course on Plant Bioinformatic Methods by University of Toronto [Online, 8 Months]: Enroll Now

Course on Plant Bioinformatic Methods by University of Toronto [Online, 8 Months]: Enroll Now

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University of Toronto Mind Control: Managing Your Mental Health During COVID-19
About the 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.

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.

This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. 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.

Skills you will gain
  • Genetic Analysis
  • Bioinformatics Analysis
  • Evolution
  • Comparative Genomics
Syllabus

Bioinformatic Methods I: Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists.

Bioinformatic Methods II: Bioinformatic Methods II, will cover motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions.

Plant Bioinformatics: 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.

Plant Bioinformatics Capstone: 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.

To enroll for this course, click the link below.

Course on Plant Bioinformatic Methods.

Note: NoticeBard is associated with Coursera via an affiliate programme.

 

 

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One Comment

  1. Dr. S. R. Sivakumar says:

    Need new courses

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