# BEAR

**Repository Path**: wangzc1990/BEAR

## Basic Information

- **Project Name**: BEAR
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-05-11
- **Last Updated**: 2022-05-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

BEAR: Better Emulation for Artificial Reads
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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