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Source Code - Polymer folding through active processes recreates features of genome organization

Authors: Goychuk, Andriy; Kannan, Deepti; Chakraborty, Arup K; Kardar, Mehran;

Source Code - Polymer folding through active processes recreates features of genome organization

Abstract

This repository contains the source code for the polymer simulations, the source code for exact numerical calculations that determine the steady state conformation of a linear phantom polymer, and several Mathematica notebook that illustrates analytic calculations, for the article "Polymer folding through active processes recreates features of genome organization" published in Proceedings of the National Academy of Sciences of the United States of America 120, e2221726120. File Description Active-Polymer-Conformation.zip Mathematica notebooks that illustrate the analytical calculations, Julia code for calculating the steady-state conformation of an active polymer, and Julia code for inferring a candidate distribution of independent active processes that best reproduces a given target steady state. active-polymers-main.zip Python code for running Brownian dynamics simulations of active Rouse chains without self-avoidance. HiC_analysis.zip Python code for analyzing Hi-C data. polychrom_analysis.zip Python scripts interfacing with polychrom (https://github.com/open2c/polychrom) to run and analyze active polymer simulations with self-avoidance.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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