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Opiniones y comentarios de aprendices correspondientes a Plant Bioinformatics por parte de Universidad de Toronto

4.8
36 calificaciones
9 revisiones

Acerca del 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: 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]...

Principales revisiones

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.

FS

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.

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1 - 9 de 9 revisiones para Plant Bioinformatics

por 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!

por Nelson E V V

Jan 16, 2019

Excellent course!

por Will H

Feb 12, 2019

Great overview of the different tools available for plant bio

por 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.

por 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.

por Josué S P

Apr 02, 2019

Really nice Course!

por Dinesh G

Apr 04, 2019

Very Informative.

por 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!

por SUKRITI B

Mar 20, 2019

Good course.