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SLiMSuite: Short Linear Motif discovery and molecular evolution toolkit

EdwardsLab RShiny Servers

The EdwardsLab servers are currently under development. Please see the SLiMSuite Blog and REST server news page for more information and updates.

SLiMEnrich

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SLiMSuite

SLiMEnrich Server Homepage GitHub SLiMSuite Blog

SLiMEnrich App

SLiMEnrich

The SLiMEnrich App allows users to predict Domain-Motif Interactions (DMIs) from Protein-Protein Interaction data (PPI) and to estimate the background distribution of expected DMI by chance through a randomisation approach.

SLiMEnrich can be used to:

  • Estimate the enrichment of SLiM-mediated DMI in a given PPI dataset.
  • Generate predictions for DMI-mediated from a PPI dataset. Predictions are based on known SLiM-Domain interactions.
  • Estimate the False Positive Rate of those DMI predictions.
  • With a bit of imagination, SLiMEnrich can be adapted to generate and assess predictions for other kinds of interactions. See docs for details.

    SLiMEnrich is available via the SLiMEnrich RShiny webserver and can be downloaded for local running from the SLiMEnrich GitHub repo.


    Other Shiny Apps

    Details coming soon.


    © 2017 RJ Edwards. Contact: richard.edwards@unsw.edu.au.