README.md

CENTIPEDE Tutorial

CENTIPEDE fits a bayesian hierarchical mixture model to learn TF-specific distribution of experimental data on a particular cell-type for a set of candidate binding sites described by a motif.

This is a practical tutorial for running CENTIPEDE with DNase-Seq data. It explains how to prepare the data and how to run the analysis. The goal is to predict if a putative transcription factor binding site is actually bound or not. For details about the statistical models underlying the methods, please see (Pique-Regi, et al. 2011).

Read the tutorial online or download the PDF:

This repository has functions to ease the use of CENTIPEDE:

I also provide example data that you can use to follow the tutorial:

Installation

Install CENTIPEDE by running this in your shell (not within an R session):

wget http://download.r-forge.r-project.org/src/contrib/CENTIPEDE_1.2.tar.gz
R CMD INSTALL CENTIPEDE_1.2.tar.gz

Next, install the tutorial package:

# This command didn't work for me.
# install.packages("CENTIPEDE", repos="http://R-Forge.R-project.org")

install.packages("devtools")
devtools::install_github("slowkow/CENTIPEDE.tutorial")


slowkow/CENTIPEDE.tutorial documentation built on March 20, 2018, 3:23 p.m.