8 03, 2019

Applying sWGS for copy-number analysis in FFPE tumour tissue

By | March 8th, 2019|Categories: Library Prep, Methods and applications, Next-generation sequencing|0 Comments

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 […]

12 12, 2018

@10XGenomics now does #spatialomics

By | December 12th, 2018|Categories: 10X Genomics, Methods and applications, Next-generation sequencing, Single-cell sequencing|0 Comments

10Xgenomics buys Spatial Transcriptomics: Single-cell methods are having at least as big an impact on our understanding of biology as microarrays did when they first appeared in the mid-to-late 1990s. And now that 10X Genomics have bought Spatial Transcriptomics many single-cell users are likely to […]

18 10, 2018

Single-cell cancer sequencing on BioRxiv

By | October 18th, 2018|Categories: 10X Genomics, Methods and applications, Next-generation sequencing, Single-cell sequencing|0 Comments

Three recent papers from Sam Apraicio (@sajraparicio) and Sorab Shah (@SohrabShah) are well worth a read on BioRxiv. In June Kieran Cambell posted a paper describing computational methods to integrate single-cell DNA and RNA-Seq data. And in September Camila de Souza and Emma Laks posted reports […]

8 06, 2018

Single-cell indexing for methylation analysis (sci-MET)

By | June 8th, 2018|Categories: Library Prep, Methods and applications, Single-cell sequencing|0 Comments

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 […]

17 05, 2018

Size matters…for cfDNA (and ctDNA)

By | May 17th, 2018|Categories: ctDNA, Library Prep, Methods and applications, Next-generation sequencing|0 Comments

“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 […]

15 05, 2018

Nanostring in Cambridge

By | May 15th, 2018|Categories: Diagnostics Tech, Methods and applications, Next-generation sequencing|0 Comments

On Friday last week I had the pleasure of hosting a half-day Nanostring symposium at Cancer Research UK’s Cambridge Institute (my previous employer). The symposium was arranged as an opportunity to get Nanostring users, and potential users, together to hear about the exciting developments in […]

1 05, 2018

Biotin health supplements may affect lab tests

By | May 1st, 2018|Categories: ctDNA, Diagnostics Tech, Methods and applications, Other stuff|0 Comments

The FDA issued a safety communication today on the risk that biotin supplements “can significantly interfere with certain lab tests and cause incorrect test results”. The FDA communiqué mentions an increase in reported adverse events, and even one death, because of Biotin interference. Biotin interferes with some […]

19 02, 2018

CRISPR diagnostics

By | February 19th, 2018|Categories: Diagnostics Tech, Methods and applications|3 Comments

Two papers in Science last week show how CRISPR can be used as a diagnostic tool. The first comes from the same team at The Broad that brought us the SHERLOCK method, the second from Jennifer Dounda’s group at Berkley. Both methods promise simple diagnostics […]

14 02, 2018

New products from @10XGenomics #AGBT18 workshop

By | February 14th, 2018|Categories: 10X Genomics, Conferences, Methods and applications, Next-generation sequencing|0 Comments

The 10XGenomics workshop just closed at AGBT and they announced some truly revolutionary new applications: single-cell feature barcoding, single-cell ATAC-Seq and single-cell CNV (feat CBGB). I’ll go through each of these in more detail below but I wanted to start by highlighting the success of single-cell analysis […]

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