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 ...
Kelly Parliament, staff application scientist at Beckman Coulter Life Sciences, discusses how automation is improving the efficiency of single-cell transcriptomic workflows.
Tensor is the first instrument that fully automates the complete single cell sequencing workflow for up to 32 samples, from cell suspension to sequencing-ready library. This alliance combines ...
Single-cell RNA-seq (scRNA-seq) has spent the past decade maturing into a foundational technology. Over that time, the technology has both laid the foundation for building cell atlases and allowed ...
In this webinar, Zivjena Vucetic will discuss how single-cell sequencing improves measurable residual disease detection (MRD) ...
A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...
The advent of single-cell omics technologies has revolutionized our understanding of the complex cellular landscape in cancer. Traditional bulk sequencing ...
CHICAGO – A new gene expression atlas developed using single-cell RNA sequencing data shows how normal hematopoietic cells differentiate and was used to catalog the multiple ways that aberrant ...