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'''__Biological Use Case__''': In our lab we're doing research into the molecular networks involved in childhood cancer. To this end we've profiled a large set of childhood tumors. Guided by biological questions we set out to develop a web-based array analysis platform called R2. In order to make an educated guess what genes to test that appeared of importance in this analysis we needed additional network analysis.
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''_Plugins to Load_'': Network and Attribute I/O, Network Inference, Functional Enrichment ''__Cytoscape version__'': 2.4 - 2.6
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''__Plugins to Load__'': R2Plugin, [http://chianti.ucsd.edu/cyto_web/plugins/index.php BiNGO], [http://baderlab.org/Software/NetMatch NetMatch]
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 1. Open website:
 1. Logon with: un pw -> if problem switch to ppt
 1. Click
''__GUI steps__'':
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|| ''Story'' || ''Action'' || ''Remarks'' ||
|| 1. Research into childhood tumors. Array data analyzed using web-based R2. Biologists use tumor series to extract relevant genes. These are manipulated in tumor cell-lines using siRna || Open website: http://hgserver1.amc.nl/cgi-bin/r2/main.cgi || ||
|| 2. Access and datasets input still restricted; will change. For logon mail r2-support_at_amc.uva.nl || Logon with: un pw || If problem switch to ppt (Piet: todo provide restricted access logon) ||
|| 3. R2 portal shows; menu reflects all possibilities, lots of data (>17,000 arrays), clinical data, all types of stat analysis || Click Timeseries || ||
|| 4. Panel provides you with three choices: __Explore timeseries__: single gene in series; __TableBuilder__: Find genes in series based on tresholds; __Multiplo__: Limma statistics applied to replicates. Availability of other datasets under dropdown || Select TableBuilder || Keep default selection set_hg_mix, upcoming improved naming of these sets ||
|| 5. || Choose cellline imr || ||
|| 6. || Choose Notch1 || ||
|| || || ||
|| || || ||
|| || || ||
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'''__Data Files__''': Use the notch timeseries (Piet: refine this) '''__Data Files__''': Supplied via website R2
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'''__Presentation__''': TBD '''__Presentation__''': [attachment:PietMolenaar_ICSB_23_8_08.ppt R2AndCytoscape_PPT]

R2 and Cytoscape: Inferring gene targets by graph based integration and analysis of molecular biological data

Piet Molenaar

Academic Medical Center, University of Amsterdam, the Netherlands

Biological Use Case: In our lab we're doing research into the molecular networks involved in childhood cancer. To this end we've profiled a large set of childhood tumors. Guided by biological questions we set out to develop a web-based array analysis platform called R2. In order to make an educated guess what genes to test that appeared of importance in this analysis we needed additional network analysis.

Recipe

Cytoscape version: 2.4 - 2.6

Plugins to Load: R2Plugin, [http://chianti.ucsd.edu/cyto_web/plugins/index.php BiNGO], [http://baderlab.org/Software/NetMatch NetMatch]

GUI steps:

Story

Action

Remarks

1. Research into childhood tumors. Array data analyzed using web-based R2. Biologists use tumor series to extract relevant genes. These are manipulated in tumor cell-lines using siRna

Open website: http://hgserver1.amc.nl/cgi-bin/r2/main.cgi

2. Access and datasets input still restricted; will change. For logon mail r2-support_at_amc.uva.nl

Logon with: un pw

If problem switch to ppt (Piet: todo provide restricted access logon)

3. R2 portal shows; menu reflects all possibilities, lots of data (>17,000 arrays), clinical data, all types of stat analysis

Click Timeseries

4. Panel provides you with three choices: Explore timeseries: single gene in series; TableBuilder: Find genes in series based on tresholds; Multiplo: Limma statistics applied to replicates. Availability of other datasets under dropdown

Select TableBuilder

Keep default selection set_hg_mix, upcoming improved naming of these sets

5.

Choose cellline imr

6.

Choose Notch1

Data Files: Supplied via website R2

Presentation: [attachment:PietMolenaar_ICSB_23_8_08.ppt R2AndCytoscape_PPT]

Webstart: Time permitting

Video: Time permitting

R2InferGeneTargetsRecipe (last edited 2009-02-12 01:03:01 by localhost)

Funding for Cytoscape is provided by a federal grant from the U.S. National Institute of General Medical Sciences (NIGMS) of the Na tional Institutes of Health (NIH) under award number GM070743-01. Corporate funding is provided through a contract from Unilever PLC.

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