Researchers from the Earlham Institute, in collaboration with the Department of Biology at the University of Oxford, have ...

Single-cell sequencing is useful for a number of applications. For example, it can reveal cellular heterogeneity inside complex tissues, such as tumors. It can also provide information about how ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

As single-cell genomics experiments grow in size, so too does the need for sequencing. Several large projects have recently called on the relative newcomer to the NGS scene, Ultima Genomics, for their ...

Combines BioSkyrb’s new ResolveOME™ Whole Genome and Transcriptome Single-Cell Core Kit 384-well assay with Uno Single Cell Dispenser™ provided by Tecan in a single workflow Enables scalable, ...

Researchers from the Earlham Institute, in collaboration with The Department of Biology at the University of Oxford, ...

Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...

Genovis AB, a leading provider of innovative enzyme technologies, today announces a strategic partnership with Single Cell Discoveries to broaden the application of the SEQURNA® Thermostable RNase Inh ...

A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.

In a single experiment, scientists can decipher the entire genomes of many patient samples, animal models, or cultured cells.