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. Using tumor series to extract relevant genes

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

2. Access and datasets input still restricted; will change. For logon mail

Logon with: un pw

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

3.

Click Timeseries

4. Panel provides you with three choices: _Explore timeseries_: single gene in series; _TableBuilder_ availability of other datasets and upcoming improved naming of these sets

Select TableBuilder

Keep default selection set_hg_mix

5.

Choose cellline imr

6.

Choose Notch1

Data Files: Notch timeseries (Piet: refine this)

Presentation: [attachment:PietMolenaar_ICSB_23_8_08.ppt R2AndCytoscape_PPT]

Webstart: Time permitting

Video: Time permitting

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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