コースについて

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]...

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

Nov 09, 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.

Machine Learning for Analytics MasterTrack™ Certificate

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トロント大学（University of Toronto）による Plant Bioinformatics の受講者のレビューおよびフィードバック

コースについて

人気のレビュー

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FS

Plant Bioinformatics： 1 - 11 / 11 レビュー

Machine Learning for Analytics MasterTrack™ Certificate

Are you a working parent looking to grow your Data Science career?

トロント大学（University of Toronto） による Plant Bioinformatics の受講者のレビューおよびフィードバック

コースについて

人気のレビュー

QR

FS

Plant Bioinformatics： 1 - 11 / 11 レビュー

トロント大学（University of Toronto）による Plant Bioinformatics の受講者のレビューおよびフィードバック