#acl All:read = GC-based nucleosome prediction = Uses GC content of a genome to predict nucleosome occupancy. Outputs the positions to a tab-delimited file with GC-smoothed values based on GC counts. This is done by binarizing the genome to 1 where C/G and 0 where A/T and then applying a Gaussian convolution to these binary values. Author: [[RonAmmar|Ron Ammar]] === Usage === {{{ gc_nucleosome_predictor.py [-hg] Options: -h, --help show this help message and exit -g GAUSSIAN_INTERVAL Interval length for Gaussian smoother; in bp) [138] --no-secondary-smoothing Turn off SMA (Simple Moving Average) to smooth afterwards for less jagged graph }}} Download predictor script [[attachment:gc_nucleosome_predictor.py]]. This script is designed for use on Linux or Mac systems.