The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Please cite sim1000G in publications as:

Dimitromanolakis, Apostolos, Xu, Jingxiong, Krol, Agnieszka, Briollais, Laurent (2019). “sim1000G: a user-friendly genetic variant simulator in R for unrelated individuals and family-based designs.” BMC Bioinformatics, 20(1), 26. ISSN 1471-2105, doi:10.1186/s12859-019-2611-1, https://doi.org/10.1186/s12859-019-2611-1.

Corresponding BibTeX entry:

  @Article{,
    author = {{Dimitromanolakis} and {Apostolos} and {Xu} and
      {Jingxiong} and {Krol} and {Agnieszka} and {Briollais} and
      {Laurent}},
    title = {sim1000G: a user-friendly genetic variant simulator in R
      for unrelated individuals and family-based designs},
    journal = {BMC Bioinformatics},
    year = {2019},
    month = {Jan},
    day = {15},
    volume = {20},
    number = {1},
    pages = {26},
    abstract = {Simulation of genetic variants data is frequently
      required for the evaluation of statistical methods in the fields
      of human and animal genetics. Although a number of high-quality
      genetic simulators have been developed, many of them require
      advanced knowledge in population genetics or in computation to be
      used effectively. In addition, generating simulated data in the
      context of family-based studies demands sophisticated methods and
      advanced computer programming.},
    issn = {1471-2105},
    doi = {10.1186/s12859-019-2611-1},
    url = {https://doi.org/10.1186/s12859-019-2611-1},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.