Researchers at UC Santa Cruz introduce the first-ever method for analyzing RNA sequencing data genome-wide using a “pantranscriptome.” ...

Scientists have developed a new extraction protocol for RNA-seq and metabolomic analysis, offering a more complete picture of cellular activity than either technique on its own. The protocol ...

Researchers at UC Santa Cruz (UCSC) have now reported on what they suggest is the first-ever method for analyzing RNA sequencing data genome-wide using a “pantranscriptome,” which combines a ...

Researchers from the University of Missouri and the Ohio State University say they have created a new way to analyze data from single-cell RNA-sequencing by using machine learning. The method uses ...

Mapping RNA sequencing data to understand gene expression can be difficult because the RNA sequences are spliced by cellular mechanisms, meaning one set of RNA data can come from non-connected ...

Methods for depth normalization have been assessed primarily with simulated data or cell-line–mixture data. There is a pressing need for benchmark data enabling a more realistic and objective ...

As some scientists create huge, new, single-nucleus RNA-sequencing datasets, others devise ways to better use existing ones. At the Alzheimer’s Association International Conference held last month in ...

Researchers introduce a method for analyzing RNA sequencing data genome-wide using a 'pantranscriptome,' which combines a transcriptome and a pangenome, creating a richer reference that can ...