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Overview of Bio-Array Resource DataViz Tools Framework Webservices Expression Browser eFP Browser ePlant.

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Presentation on theme: "Overview of Bio-Array Resource DataViz Tools Framework Webservices Expression Browser eFP Browser ePlant."— Presentation transcript:

1 Overview of Bio-Array Resource DataViz Tools Framework Webservices Expression Browser eFP Browser ePlant

2 BAR Framework The Bio-Array Resource consists of numerous MySQL DBs. There is also associated code written in Perl, Python, Ruby, and some Java for exploring gene expression data, protein-protein interactions, subcellular localization, orthologs, and protein structure Expression data are from in-house or public DBs, such as GEO or the PDB, and are stored in a MIAME-compliant format. Details on experimental setup, genetic background (whether the material is from a mutant plant), etc. are captured. In general, we try to capture such details using standardized ontologies, such a the Boyes system for describing the age of plants, GO etc. Unfortunately not all of these ontologies are suitable for our needs (e.g. Plant Ontology for now). MinSeq may be suitable for NGS data… The BAR runs off on a Dell webserver with 2 Dual Core Xeon Processors (2.33GHz), 4 GB of RAM, and ~80 GB of redundant disk storage.

3 Webservices Many older BAR tools use direct SQL queries within the code to retrieve data More recently, we have implemented BioMoby based webservices to e.g. return eFP Browser images to remote clients We are also finding it convenient to implement lighter weight JSON (Javascript Object Notation) webservices for internal use – this makes development a lot faster and as a bonus provides others with direct, computer-readable access to our data (expression data, protein-protein interaction data, orthologs etc.)

4 The Bio-Array Resource: e-Northerns w. Expression Browser Toufighi et al. (2005), Plant J 43(1): 153-163 Experiment Identifier Experiment Category Control/Treatment Flag black=treatment, white=control Expression Levels red=higher expression level AGI IDs, My Gene Categories colouring as specified by user Functional Classification ’Barcode’ indicates GO category Cluster Tree co-expressed genes are grouped Growth Stage darker=older Tissue type e.g. green=leaf Mutant/WT Flag white=WT, blue=mutant Timecourse darker=later Protein Interactions if present

5 Looking at DHS3 response with the eFP Browser Data Source to choose different AtGenExpress projects and other projects, e.g. Birnbaum set. Expression Level scale red=higher expression level Expression Level distribution shows how maximum level compares with all other genes, and maximum level in any set Clickable tissues hyperlink to the NASCArrays, GEO or literature record for the sample Mode allows viewing in Absolute, Relative, and Compare modes Signal Threshold to set a maximum for colour scale Winter et al. (2007) PLoS One 2(8): e718

6 AtGenExpress data Browser array_element_name locus (from affy_ATH1_array_elements-2006-01-06.txt at TAIR) 261585_at AT1G01010 261568_at AT1G01030 261584_at AT1G01040 261579_at AT1G01050 261569_at AT1G01060 261576_at AT1G01070 261577_at AT1G01080 261583_at AT1G01090 261578_at AT1G01100 261580_at AT1G01110 261570_at AT1G01120 261575_at AT1G01130 At-TAX data from Tuebingen w. webservices

7 New for 2008 – cross-species expression viewing

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9 New for 2009 – ePl : seamless viewing of km- to nm-scale data David Di Biase, Geoff Fucile, Shokoufeh Kohdabandeh, Hardeep Nahal 3DDI.orgBAR.utoronto.ca/ePlant

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12 NGS mRNA-seq data could be displayed with BAR tools


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