Trends in single cell sequencing: Atlases & public data
With the boom in single cell sequencing over the last years, a lot of data has been generated – and excitingly, more and more of this data is publicly available. That’s why the generation and utilisation of atlases and public data is the second trend that we’ve...
Trends in single cell sequencing: High-throughput technologies
The value of single cell sequencing is now cemented in the annals of the life science industry – and as a result, new methods and technologies are emerging that allow scientists to sequence more and more cells at a lower and lower cost. The ability to multiplex...
The future of multi-omics data analysis
“I see it with the same excitement as I did when next generation sequencing came out.” That’s what one of our in-house bioinformatics experts had to say when asked about the future of multi-omics data analytics. And he’s not alone – many scientists agree...
5 tips for getting the most out of your multi-omics data
In order to study a biological system as a whole, it’s beneficial to merge the input of different biological features. That means taking into account not only the proteome, transcriptome, and genome, but also the abundance of post-translational modifications and...