Quantification of subclonal selection in human cancers
Published:
This post will detail software used in our recent publication Quantification of subclonal selection in cancer from bulk sequencing data. For this publication we used a combination of mathematical and computational modelling, Bayesian inference and bioinformatics. We have tried to make the software/scripts for each of these components freely available (via github) and (hopefully) easy to use so that the results are as reproducible as possible and so that similar analyses can be performed with different datasets.