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: Ron Ammar
gc_nucleosome_predictor.py [-hg] <Genome FASTA File> Options: -h, --help show this help message and exit -g GAUSSIAN_INTERVAL Interval length for Gaussian smoother; in bp)  --no-secondary-smoothing Turn off SMA (Simple Moving Average) to smooth afterwards for less jagged graph
Download predictor script gc_nucleosome_predictor.py.
This script is designed for use on Linux or Mac systems.