ddrage

Release 1.8.1

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

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Install
pip install ddrage==1.8.1

Documentation

ddRAGE - ddRAD Data Generator

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

The documentation, including a tutorial, can be found here. The code is hosted on bitbucket, PyPI, and bioconda.

System Requirements

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

For the docs:

  • sphinx

For parameter visualization:

  • bokeh

Installation

We recommend the installation using conda:

$ conda create -n ddrage -c bioconda ddrage
$ source activate ddrage

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

$ git clone https://bitbucket.org/genomeinformatics/rage.git ddrage
$ cd ddrage
/rage$ python setup.py install

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

Usage

To simulate a ddRAD data set, call ddrage from the command line:

$ ddrage

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

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

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

A more detailed tutorial can be found on readthedocs.

Citing ddRAGE

Our paper describing ddRAGE has been published in Molecular Ecology Resources. You can cite it as follows:

Timm H, Weigand H, Weiss M, Leese F, Rahmann S. ddRAGE: A data set generator to evaluate ddRADseq analysis software. Mol Ecol Resour. 2018;18:681–690. https://doi.org/10.1111/1755-0998.12743

BibTeX version:

@article{timm2018ddrage,
  title={ddrage: A data set generator to evaluate ddRADseq analysis software},
  author={Timm, Henning and Weigand, Hannah and Weiss, Martina and Leese, Florian and Rahmann, Sven},
  journal={Molecular Ecology Resources},
  volume={18},
  number={3},
  pages={681--690},
  year={2018},
  url = {http://dx.doi.org/10.1111/1755-0998.12743},
  doi = {10.1111/1755-0998.12743},
}

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