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Voltar para Plant Bioinformatics

Comentários e feedback de alunos de Plant Bioinformatics da instituição Universidade de Toronto

209 classificações

Sobre o curso

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 2022]: 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, Genevestigator, 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...

Melhores avaliações


14 de set de 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


9 de mar de 2019

Very good course for mastering bioinformatics skills. Genetics and molecular biology students/professionals should take this course to augment their research skills.

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1 — 25 de 48 Avaliações para o Plant Bioinformatics

por Ahmad H K

5 de jul de 2020


10 de mar de 2019

por Fabrício d A S

8 de nov de 2019

por Rubylyn M I

9 de dez de 2020

por Nitisha N G

16 de abr de 2021

por Danny W

30 de jan de 2019

por Alvaro L

4 de jul de 2019

por Glenn N

25 de fev de 2020


3 de ago de 2020


6 de mai de 2020

por Sufiyan

15 de set de 2022

por Lerry D P S

23 de mai de 2020

por Fer B

20 de set de 2021

por Hewan D

20 de mai de 2020

por Lucas A C

31 de jul de 2020

por Raghavendra G

31 de jul de 2020

por Suhasini M

2 de nov de 2021

por Syeda S W

8 de nov de 2020


3 de nov de 2020

por Namrah A

5 de set de 2022

por Dr. D D

27 de set de 2020

por sunila h

13 de jul de 2020

por Jude C F

31 de mar de 2021

por Danilo F S

17 de fev de 2021

por Fariha T

2 de jul de 2020