Single-cell RNA sequencing (scRNA-seq) represents a groundbreaking advancement in genomic techniques, allowing researchers to detect and quantify messenger RNA (mRNA) molecules at the single-cell ...

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

Thus, we address a persistent challenge in bacterial single-cell RNA-seq regarding rRNA abundance, exemplifying the utility of this ... challenging initial predictions and contributing significantly ...

Diseases marked by progressive deterioration of the brain—neurodegeneration—have proven challenging to understand and treat.

This work introduces an important new method for depleting ribosomal RNA from bacterial single-cell RNA sequencing libraries, demonstrating its applicability for studying heterogeneity in microbial ...

Recent advances in single-cell transcriptomics have revolutionized our understanding of gastrointestinal ... This study employed large-scale single-cell RNA sequencing to analyze 385 samples ...

Scientists at Sanford Burnham Prebys are uncovering new ideas for future treatments by better understanding ... on our brain cells. The team used two forms of single-nucleus RNA sequencing ...

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 ...

By integrating transcriptomic data, single-cell RNA sequencing data and independently collected RNA sequencing data this ... These analyses helped us to gain a deeper understanding of the biology of ...

UMAP is a powerful tool for exploratory data analysis, but without a clear understanding of how it works, it can easily lead ...