In my previous post, I gave a brief introduction to mutational signature and spectrum analysis using the deconstructSigs framework, including how to modify the source code to allow for the analysis of murine samples. deconstructSigs allows for the visualisation of mutational spectra as barcharts, giving a granular view of the trinucleotide context for variants in an individual sample. Unfortunately, this form of visualisation works poorly for the purpose of comparing the mutational spectra of multiple samples in a cohort. One solution to this is to display mutational spectra as a heatmap, as presented in PMK Westcott et al. 2015. This post will show how this can be done in R.
Mutational signatures were pioneered by Nik-Zainal et al. in 2012 and the concept has since become instrumental in the analysis of the etiology of cancer. This blog post shows how a mutational signature analysis can be performed using the deconstructSigs R package, and the adjustments to the source code that need to be made in order to be able to do so on sequence data from mice.
Hi, and welcome to my blog! If you've arrived here... you probably came here by accident. In brief, I'm a medical student doing an MD/PhDish program at the University of Oslo at the Department of Cancer Genetics. I'm currently working on sequence data from mouse cancer models, with a focus on tumor progression. Recently, I've been spending far too much time figuring out what should be fairly standard sequence analyses, so I'm starting this blog in an attempt to publicly document some of my work and hopefully be of help to to the next person working through the same issues as myself. Maybe I'll even have an opinion about something at some point too... For now, thanks for visiting!