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Plant Bioinformatics

Plant Bioinformatic Methods,

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 2023]: 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, ARDB, 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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Rating 4.8 based on 11 ratings
Length 9 weeks
Effort 6 weeks of hands-on study, plus 2 evaluation weeks. The hands-on modules will take 2-4 hours of time
Starts Jul 3 (43 weeks ago)
Cost $49
From University of Toronto via Coursera
Instructor Nicholas James Provart
Download Videos On all desktop and mobile devices
Language English
Subjects Science Engineering
Tags Life Sciences Physical Science And Engineering Research Methods Health Informatics

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biology students/professionals should take

Genetics and molecular biology students/professionals should take this course to augment their research skills.

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There might be a problem with my browser or internet connection, I tried several times opening Athena but I could not open the site.

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Lo recomiendo fuertementes para aquellos que hagan biología molecular vegetal!

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But one thing I want to say about this course is that some web links given in this course are not accessible to me.

analysis regarding plant bioinformatics

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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augment their research skills

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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.

really nice course

Really nice Course!

enjoyed working through

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.

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Rating 4.8 based on 11 ratings
Length 9 weeks
Effort 6 weeks of hands-on study, plus 2 evaluation weeks. The hands-on modules will take 2-4 hours of time
Starts Jul 3 (43 weeks ago)
Cost $49
From University of Toronto via Coursera
Instructor Nicholas James Provart
Download Videos On all desktop and mobile devices
Language English
Subjects Science Engineering
Tags Life Sciences Physical Science And Engineering Research Methods Health Informatics

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