TMM

Predict the activity of Telomere Maintenance Mechanisms from gene expression data. Contribute to improvement of TMM pathways
*There are two mechanisms that maintain the length of telomeres in healthy and cancerous tissues: telomerase-dependent and alternative (ALT) mechanisms. This project is aimed at fostering research on telomere maintenance mechanisms (TMM).* - We provide Telomerase and ALT TMM pathways that we’ve curated based on literature and gene expression data. - We’ve created this app for assessment of TMM activity from gene expression data. - You may use these pathways and our app to assess which TMM mechanism is active in your samples, if you’ve got gene expression data for them. - Most importantly, we believe that many researchers may contribute their knowledge or data to improve these pathways and to deepen current understanding of molecular mechanisms leading to TMM activation. Please, note that TMM depends on [http://apps.cytoscape.org/apps/psfc PSFC] app.

0.4

Works with Cytoscape 3.4

Release Notes

Fixed the bug with prediction mode labels; Fixed the bug with UI tab graphical parameters; Computes the statistics for both pathways;

0.3

Works with Cytoscape 3.4

Release Notes

Fixed the bug for boxplot stats when one of the phenotypes was missing.

0.2

Works with Cytoscape 3.4

Release Notes

Setup window GUI problem fixed. Labeling bug in 2D map generation in prediction mode fixed. Adjustment of axes of 2D map done.

0.1

Works with Cytoscape 3.4

Release Notes

This is the initial beta release.

CYTOSCAPE 3

Version 0.4

Released 6 Oct 2017

Works with Cytoscape 3.4

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