Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

The sequencing of RNA from individual cells is an increasingly used, powerful method for studying cellular heterogeneity. However, the analysis of single-cell RNA-seq is limited due to the high technical variability between experiments and the inability to perform true technical replicates on the same cell. David Severson and colleagues from the labs of Benjamin Schuster-Böckler and Xin Lu have developed a new algorithm, BEARscc, published in Nature Communications, which uses simulation to improve the biological interpretation of single-cell RNA-seq experiments.

Similar stories

iASPP as a regulator of immunological tolerance

Researchers from the Lu lab identify iASPP to be a key component in the anti-tumour immune response

Vacancy - Senior Postdoctoral Research Scientist - Bioinformatics

Grade 8: £43,414 - £51,805 with a discretionary range to £56,592 per annum