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 patient outcomes using widely available bulk RNA sequencing data. The approach ...

This Research Topic is the second volume of the “Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics” ...

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 ...

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 ...

You don't want to miss this! To permanently access this eBook for free, fill out the short form below. Single-cell sequencing is a valuable tool for analyzing complex cellular populations, enabling ...

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 ...

BioSkryb Genomics and Tecan Group, today introduced a high-throughput single-cell workflow, combining BioSkryb's 384-well format of the ResolveOME ™ Whole Genome and Transcriptome Single-Cell Core Kit ...

Proteins, one of the smallest building blocks of life on Earth, hold promise for answering some of biology's biggest ...

Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This malignancy's heterogeneity and complexity have long posed significant ...