In this feature, we explore the impacts of technical variability in single-cell experiments and how standardisation might be ...

To infer gene regulatory networks (GRNs) of mixed populations in scRNA-seq data, the research team utilized the mixture ...

Researchers led by Jerold Chun MD, PhD, professor in the Degenerative Diseases Program at Sanford Burnham Prebys, published ...

RiboD-PETRI, a cost-effective, equipment-free plate-based scRNA-seq technique that integrates a unique bacterial rRNA depletion protocol, significantly enhancing mRNA detection rate and revealing ...

Single-cell RNA-sequencing protocols (drop-seq and Patch-seq) are combined to understand cellular diversity across brain regions and species. Each brain region is composed of distinct neuronal cell ...

We offer a range of services, including single cell RNA sequencing and spatial transcriptomics. Our facility is equipped with state-of-art instruments, including the 10X Genomics Chromium X which ...

The workflow includes a Shiny web app where the user can modify various protocol parameters and a python ... Kinnex kits can be used for full-length RNA, single-cell RNA, and 16S rRNA sequencing on ...

Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access ...

The input of the DeepTXsolver is the parameters of the mechanism model, and the output is the corresponding stationary distribution solution of the model. The input to the DeepTXinferrer is the ...

Then, scientists can analyze the composition of RNA molecules that contain codes for building new proteins. "However, typical single-cell sequencing experiments use what is called short-read ...