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Learner Reviews & Feedback for Plant Bioinformatics by University of Toronto

4.8
stars
226 ratings

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. 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?" Structure: each of the 6 week hands-on modules consists of a ~2 minute intro, a ~20 minute theory mini-lecture, a 1.5 hour hands-on lab, an optional ~20 minute lab discussion if experiencing difficulties with lab, and a ~2 minute summary. Tools covered [Material updated in June 2023]: Module 1: GENOMIC DBs / PRECOMPUTED GENE TREES / PROTEIN TOOLS. Araport, TAIR, Gramene, EnsemblPlants Compara, PLAZA; SUBA4 and Cell eFP Browser, 1001 Genomes Browser Module 2: EXPRESSION TOOLS. eFP Browser / eFP-Seq Browser, Araport, ARDB, TravaDB, NCBI Genome Data Viewer for exploring RNA-seq data for many plant species, MPSS database for small RNAs Module 3: COEXPRESSION TOOLS. ATTED II, Expression Angler, AraNet, AtCAST2 Module 4: PROMOTER ANALYSIS. Cistome, MEME, ePlant Module 5: GO ENRICHMENT ANALYSIS AND PATHWAY VIZUALIZATION. AgriGO, AmiGO, Classification SuperViewer, TAIR, g:profiler, AraCyc, MapMan (optional: Plant Reactome) Module 6: NETWORK EXPLORATION. Arabidopsis Interactions Viewer 2, ePlant, TF2Network, Virtual Plant, GeneMANIA...

Top reviews

SS

Sep 14, 2022

That was so insightful and learning course about plants bioinformatic out of basic methods.

Also help in working project to give meaningful answers with validation

DD

May 5, 2020

In- depth learning of the various tools and softwares available to study plant bioinformatics. Guidance of the author through the labs is insightful and informative.

Filter by:

26 - 50 of 50 Reviews for Plant Bioinformatics

By Nida F

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Jul 4, 2020

a good course to get you familiar with important signalling pathways

By Anushka B T

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Jul 6, 2020

A great platform to learn bioinformatics with clear explanations

By Will H

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Feb 12, 2019

Great overview of the different tools available for plant bio

By Deluxeani K

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Jun 12, 2021

Really very interesting and useful course. Thank you.

By Kartavya M

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Mar 28, 2021

Learnt a lot of new software uses and data analysis

By 708.AnjuDas

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Nov 7, 2022

superb course to learn basic of Bioinformatics.

By Daniel B

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Jun 28, 2020

I loved it. Thank you very much.

By Munasinghe K N D

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Oct 29, 2023

Wonderfull learning experience

By Achintha E

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Oct 5, 2020

very good online course

By Josué S P

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Apr 2, 2019

Really nice Course!

By La V M

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Mar 21, 2021

Very good course.

By Dinesh G

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Apr 4, 2019

Very Informative.

By Nelson E V V

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Jan 16, 2019

Excellent course!

By VINEETHA S

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Sep 16, 2020

Very informative

By merlin

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Aug 26, 2020

Excellent course

By OMAR C H

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Mar 31, 2022

exelente

By Edison R

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Dec 24, 2020

Excelent

By Amir G S

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Oct 22, 2019

excelent

By Nammi S K

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Jun 16, 2020

Good

By Muhammad N

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Nov 2, 2019

I have learnt a lot from this course work, especially the LAB section of this course is the most interesting thing to do and the quiz is also interesting because it engages the practical with you theoretical knowledge. But one thing I want to say about this course is that some web links given in this course are not accessible to me. There might be a problem with my browser or internet connection, I tried several times opening Athena but I could not open the site. Please fix this problem if this is the weblink issue, overall this course was great. Suggestion to improve the learning from this course is this course must contain a section on how to make a hypothesis regarding insilico study of genes.

By SANKALAN D

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May 2, 2020

I thoroughly enjoyed the Plant Bioinformatics Course. I would also like to thank, Course Instructor, Nicholas Provart, for making such important course, this will help lot of aspiring plant biologists.

By Sonali B

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Jun 2, 2022

Very helpful to understand the different tools of bioinformatics

By SUKRITI B

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Mar 20, 2019

Good course.

By Dylan S

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Jan 11, 2021

This course had a lot of overlap with the previous two bioinformatics courses and I was hoping for newer topics. It may help for more depth into each of the analyses, because occassionally I was wondering what we were accomplishing by running each of them.

By waleed h

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May 29, 2023

this course is beneficial for me