Created by Stephen Johnson, Brett Trost, Dr. Jeffrey R. Long, Dr. Anthony Kusalik University of Saskatchewan, Department of Computer Science
BEAR is intended to be an easy-to-use collection of scripts for generating simulated WGS metagenomic reads with read lengths, quality scores, error profiles, and species abundances derived from real user-supplied WGS data.
BEAR is free for academic, non-commercial purposes. If you would like to use it for commercial purposes, please contact us.
BEAR is implemented as a collection of Perl and Python scripts, and is known to work with Perl v5.14.2 and Python v2.7.3. BEAR has the following dependencies:
-Perl Getopt::Long, Bio::SeqIO (part of BioPerl), List::Util modules
-Python Bio and Numpy packages
-Python sys, csv, StringIO, random, decimal, argparse modules
-DRISEE, which can be downloaded at https://github.com/MG-RAST/DRISEE
Instructions for installing BioPerl can be found at http://www.bioperl.org/wiki/Installing_BioPerl
Instructions for installing BioPython and Numpy can be found at http://biopython.org/wiki/Getting_Started and http://www.scipy.org/install.html respectively