Cancer is a disease driven by mutation and copy-number aberration (CNA) yet most of the data generated to date has focused on SNV and InDel calling – the easy part of DNA analysis, particularly in ctDNA. This means that not enough focus has been put […]
Andrew Adey’s group at OHSU published sci-MET – a single cell method for whole-genome methylation analysis in Nature Biotech last month: Highly scalable generation of DNA methylation profiles in single cells. In this they described their indexing method and report on an analysis of over 3000 […]
“It’s not the size that matters, it’s what you do with it that counts!” Turns out that the first statement very much does matter when it comes to cell free DNA. It is becoming clearer that the size of cfDNA and ctDNA is information that […]
My lab has been a long-time user of Illumina’s transposase exomes for the very simple reason that the 50ng input has been the lowest on the market for number of years*. This made it attractive for cancer samples where we are really limited on DNA availability; […]
