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localcider 0.1.8.post1

Tools for calculating sequence properties of disordered proteins [from the Pappu Lab in at Washington University in St. Louis]

version 0.1.8 - March 2016


localCIDER is a Python package developed by the lab of Rohit Pappu at Washington University in St. Louis for calculating and plotting parameters associated with intrinsically disordered proteins (IDPs) and disodered regions (IDRs). localCIDER is the Python backend for CIDER, ( Classification of Intrinsically Disordered Ensemble Regions) - a webserver currently in the final stages of development, also by the Pappu lab. Essentially, localCIDER lets you run CIDER’s calculations locally, allowing you to create custom analysis pipelines which do not rely on the webserver. It also allows you to take advantage of your own local infrastructure, rather than competing with everyone else for a common set of hardware provided by the Pappu lab.

This project was motivated by the need to rapidly and easily calculate the κ (kappa) parameter, as defined in the 2013 Das & Pappu PNAS paper [1], as well as provide a tool to easily plot a sequence on the Das-Pappu diagram of states;

The original method for calculating κ involved an incredibly computationally expensive Monte Carlo step (used to determine the maximally segregated sequence) , whereas localCIDER makes use of a number of heuristics to reduce the Monte Carlo search space to an optimized and highly manageable size (most κ calculations are carried out in less than a second).

Beyond κ, localCIDER lets you calculate a range of additional parameters, as well as create the Das-Pappu diagram of states (shown below) and a number of other plots.

For more information please see the full documentation .


To install run

[sudo] pip install localcider

Note that localcider requires numpy and matplotlib to run.

Usage, bugs, and questions

Please see the see the full documentation for usage guidelines. Please address all questions and bug reports to Alex and he’ll do his best to get back to you!


localCIDER was written by Alex Holehouse and James Ahad in the Pappu Lab . A manuscript is currently under preparation for citation, but until that time please cite localCIDER as;

Holehouse, A. S., Ahad, J., Das, R. K. & Pappu, R. V. CIDER: Classification of Intrinsically Disordered Ensemble Regions. Biophys. J. 108, 228a (2015).

File Type Py Version Uploaded on Size
localcider-0.1.8.post1.tar.gz (md5) Source 2016-03-28 78KB