About this Course

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Shareable Certificate
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Start instantly and learn at your own schedule.
Flexible deadlines
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Beginner Level
Approx. 19 hours to complete
English
Subtitles: English

Learner Career Outcomes

33%

started a new career after completing these courses

27%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 19 hours to complete
English
Subtitles: English

Offered by

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University of Toronto

Syllabus - What you will learn from this course

Content RatingThumbs Up98%(1,617 ratings)Info
Week
1

Week 1

3 hours to complete

Protein Motifs

3 hours to complete
4 videos (Total 35 min), 4 readings, 1 quiz
4 videos
Lecture22m
Lab Discussion9m
Summary1m
4 readings
Acknowledgements10m
Course Logistics10m
Lecture Materials10m
Lab 1 -- Protein Domain, Motif and Profile Analysis1h 30m
1 practice exercise
Lab 1 Quiz30m
Week
2

Week 2

3 hours to complete

Protein-Protein Interactions

3 hours to complete
4 videos (Total 37 min), 2 readings, 1 quiz
4 videos
Lecture23m
Lab Discussion11m
Summary1m
2 readings
Lecture Materials10m
Lab 2 -- Protein-Protein Interactions1h 30m
1 practice exercise
Lab 2 Quiz30m
Week
3

Week 3

3 hours to complete

Protein Structure

3 hours to complete
4 videos (Total 33 min), 2 readings, 1 quiz
4 videos
Lecture13m
Lab Discussion16m
Summary1m
2 readings
Lecture Materials10m
Lab 3 -- Structural Bioinformatics1h 30m
1 practice exercise
Lab 3 Quiz30m
Week
4

Week 4

1 hour to complete

Review: Protein Motifs, Protein-Protein Interactions, and Protein Structure

1 hour to complete
1 practice exercise
Quiz: Protein Motifs, Protein-Protein Interactions, and Protein Structure30m

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About the Plant Bioinformatic Methods Specialization

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....
Plant Bioinformatic Methods

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