Chevron Left
Вернуться к Plant Bioinformatics

Отзывы учащихся о курсе Plant Bioinformatics от партнера Торонтский университет

4.8
звезд
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...

Лучшие рецензии

SS

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

SK

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.

Фильтр по:

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.