Chevron Left
Вернуться к Plant Bioinformatics

Отзывы учащихся о курсе Plant Bioinformatics от партнера Торонтский университет

4.8
Оценки: 28
Рецензии: 8

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: 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 other than Arabidopsis, MPSS database for small RNAs Module 3: COEXPRESSION TOOLS. ATTED II, Expression Angler, AraNet, AtCAST2 Module 4: PROMOTER ANALYSIS. Cistome, Athena, 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 [Material updated in June 2019]...

Лучшие рецензии

QR

Mar 10, 2019

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

WH

Feb 12, 2019

Great overview of the different tools available for plant bio

Фильтр по:

1–9 из 9 отзывов о курсе Plant Bioinformatics

автор: Alvaro L

Jul 05, 2019

El curso es muy interesante y presenta un conjunto de herramientas que son realmente muy útiles a la hora de entender el contexto de las redes de regulación de casi cualquier gen vegetal. Lo recomiendo fuertementes para aquellos que hagan biología molecular vegetal!

автор: Dinesh G

Apr 04, 2019

Very Informative.

автор: Josue S P

Apr 02, 2019

Really nice Course!

автор: SUKRITI B

Mar 20, 2019

Good course.

автор: QASIM R

Mar 10, 2019

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

автор: Fabrício d A S

Feb 22, 2019

Professor Provart is very good and the labs taught us in simple and direct instructions how to perform a wide range of analysis regarding Plant Bioinformatics.

автор: Will H

Feb 12, 2019

Great overview of the different tools available for plant bio

автор: Danny W

Jan 30, 2019

A really enjoyable and interesting course, well taught. I really enjoyed working through the lab practicals, getting hands on experience with many of the tools used for plant bioinformatics was a good learning exercise. I liked the course presenter too, he was clear and engaging!

автор: Nelson E V V

Jan 16, 2019

Excellent course!