The largest single cell perturbation dataset to-date will be generated and released open source in a new team effort.

In the rapidly evolving field of drug discovery, single-cell analysis has become an invaluable tool for understanding cellular heterogeneity and molecular pathways. However, traditional single-cell ...

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

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 ...

Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...

This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...

Artificial intelligence data annotation startup Encord, officially known as Cord Technologies Inc., wants to break down barriers to training multimodal AI models. To do that, it has just released what ...

Zimislecel is an allogeneic stem cell–derived islet-cell therapy. Data on the safety and efficacy of zimislecel in persons with type 1 diabetes are needed. We conducted a phase 1–2 study of zimislecel ...