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Simulator for ddRADseq (double digest restriction site associdated DNA squencing) datasets. Generates reads (FASTQ format) that can be analyzed and validated using a ground truth file (YAML).

Project Description

RAGE (ddRAD Data Generator) is a software to simulate double digest restriction site associated DNA sequencing reads. The generated datasets can be used to test ddRAD analysis tools and validate their results.

The documentation, including a tutorial, can be found here.

System Requirements

  • python >= 3.5
  • numpy
  • scipy
  • matplotlib
  • pyyaml
  • numba

For the docs:

  • sphinx
  • sphinx_rtd_theme

For parameter visualization:

  • bokeh


We recommend the installation using conda:

$ conda create -c bioconda -n rage  python rage
$ source activate rage

Alternatively, you can download the source code from bitbucket and install it using the setup script:

$ git clone
$ cd rage
/rage$ python install

In this case you have to install the requirements listed above.


To simulate a ddRAD dataset, call rage from the command line:

$ rage

you can specify parameters to change dataset parameters such as number of individuals (-n), nr of loci (-l), and coverage (--coverage):

$ rage -n 6 -l 10000 --coverage 30

This creates a dataset with reads from 6 individuals at 10000 loci with an expected coverage of 30.

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
ddrage-1.1.4-py3-none-any.whl (154.3 kB) Copy SHA256 Checksum SHA256 py3 Wheel Mar 15, 2017
ddrage-1.1.4.tar.gz (143.9 kB) Copy SHA256 Checksum SHA256 Source Mar 15, 2017

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