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Machine learning for higher-order regulatory features in chip-seq datasets

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Overview

This is a repository for exploratory code and results pertaining to machine learning for detection of higher-order features (e.g. DNA looping, TF polymerization) in ChIP-seq datasets. We wish to discover the “secrets” contained in ChIP-seq data, hence chipsecret.

Setup

Some data used in this study is currently unpublished. Please contact patrick[dot]oneill@umbc.edu for details.

We assume you have installed:

  • bowtie
  • standard POSIX environment, e.g. Python 2.x, curl, make, &c.

Then type:

$ make

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Machine learning for higher-order regulatory features in chip-seq datasets

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