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Вернуться к Plant Bioinformatics

Отзывы учащихся о курсе Plant Bioinformatics от партнера Торонтский университет

Оценки: 209

О курсе

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...

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14 сент. 2022 г.

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


5 мая 2020 г.

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.

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1–25 из 48 отзывов о курсе Plant Bioinformatics

автор: Ahmad H K

5 июля 2020 г.

автор: QASIM R

10 мар. 2019 г.

автор: Fabrício d A S

8 нояб. 2019 г.

автор: Rubylyn M I

9 дек. 2020 г.

автор: Nitisha N G

16 апр. 2021 г.

автор: Danny W

30 янв. 2019 г.

автор: Alvaro L

4 июля 2019 г.

автор: Glenn N

25 февр. 2020 г.

автор: DIANEY C C M

3 авг. 2020 г.

автор: SHARON K

6 мая 2020 г.

автор: Sufiyan

15 сент. 2022 г.

автор: Lerry D P S

23 мая 2020 г.

автор: Fer B

20 сент. 2021 г.

автор: Hewan D

20 мая 2020 г.

автор: Lucas A C

31 июля 2020 г.

автор: Raghavendra G

31 июля 2020 г.

автор: Suhasini M

2 нояб. 2021 г.

автор: Syeda S W

8 нояб. 2020 г.

автор: KAVITHA.A

3 нояб. 2020 г.

автор: Namrah A

5 сент. 2022 г.

автор: Dr. D D

27 сент. 2020 г.

автор: sunila h

13 июля 2020 г.

автор: Jude C F

31 мар. 2021 г.

автор: Danilo F S

17 февр. 2021 г.

автор: Fariha T

2 июля 2020 г.