JP Morgan kicks off today and there are sure to be lots of exciting announcements by many of the life science companies we’re all using. I’m particularly interested to hear about new developments in the diagnostics space as my new job is going to be […]
There’s a great paper from Pete Skene, postdoc 2011-2017 in the Henikoff lab, on eLife: An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites. The paper describes a novel method that performs as well as ChIP-Seq, but with lower background and false-positives. ChIP-seq is […]
There have been several map updates which I’d not published (apologies to you all). Unfortunately the map was broken yesterday morning and I’m figuring out what’s wrong. Hopefully we’re back to normal service now, while the issues get dealt with in the back end! New […]
I’m really pleased to have a commentary article published in Nature Methods today: A profusion of confusion in NGS methods naming. My colleague Jaques Retief and I have been talking about NGS methods for many years and decided to write this article to highlight some of […]
I wanted to let you readers of my blog that a huge change is coming for me. At the end of February 2018 I’ll be leaving my job here at CRUK and am joining Astra Zeneca as the Director of a new R&D group. My time at CRUK […]
Anyone who’s run Illumina instruments over the years is likely to have noticed how flowcells can have remarkably similar (and occasionally amusing) names. This can create a real headache when looking for a specific run as a single mismatch can cause you to spend some time […]
I’ve been meaning to write up a post on a BioRxiv report from earlier this year: “Scaling single cell transcriptomics through split pool barcoding”1. The Seelig Lab at the University of Washington have developed a single-cell RNA sequencing method to enable labelling RNA molecules with cell-of-origin information using […]
A recent BioRxiv report from the Gerlinger group at ICR describes a targeted ctDNA sequencing method that uses error correcting UMIs to achieve 100% sensitivity for mutant allele frequencies of >0.15%, and 87% at >0.075%, and reduce false-positive mutation calls by 98.6%, without adversely affecting the […]
In this post I wanted to highlight the wonderful “Excel vs R: A Brief Introduction to R” by Jesse Sadler. This is full of useful and practical advice on using R in place of Excel (or any other spreadsheet) for simple data analysis. I use […]
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; […]
