Trends in single cell sequencing: Spatial transcriptomics
Spatial transcriptomics is a fast-moving and quickly growing field, although its technical complexity remains a challenge. Early adopters in industry are now beginning to explore its potential – which is why spatial transcriptomics is the third trend that we’ve...
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...