<p>SigProfilerSimulator simulates mutational signatures in cancer. It allows for realistic simulations of single point mutations, double point mutations, and insertions/deletions with the goal of providing a background model for statistical analysis. The simulations are performed in an unbiased fashion, relying on random chance as the main distribution and can be performed across the entire genome or limited to user-provided ranges.</p>
<p>The SigProfilerSimulator library can be found on GitHub at <a href="https://github.com/alexandrovlab/sigprofilersimulator" rel="nofollow">here</a>.
The <a href="https://github.com/AlexandrovLab/SigProfilerSimulator/blob/master/README.md" rel="nofollow">README.md</a> file provides a great overview if your environment is already set up.</p>
<p>Erik N. Bergstrom, Mark Barnes, Iñigo Martincorena, Ludmil B. Alexandrov bioRxiv 2020.02.13.948422; doi: <a href="https://doi.org/10.1101/2020.02.13.948422" rel="nofollow">https://doi.org/10.1101/2020.02.13.948422</a> <a href="https://www.biorxiv.org/content/10.1101/2020.02.13.948422v1" rel="nofollow">https://www.biorxiv.org/content/10.1101/2020.02.13.948422v1</a></p>
<p>This software and its documentation are copyright 2020 as a part of the SigProfiler project. The SigProfilerSimulator framework is free software and is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.</p>
<p>Please address any queries or bug reports to Erik Bergstrom at firstname.lastname@example.org</p>