Scientists at St. Jude Children's Research Hospital, the National Center for Genomic Analysis and the University of Adelaide ...

preserves data fidelity and maximizes use of precious biospecimens. Van Andel Institute scientists have developed a new extraction protocol for RNA-seq and metabolomic analysis, offering a more ...

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 ...

This course will give an introduction to the theory and practice of analyzing high-throughput RNA sequencing through lectures and hands ... the format of/working with aligned SAM/BAM files; 4) ...

Figure 1: RNA-seq data uses short reads of mRNA which is free of intronic non-coding DNA. These reads must then be aligned back to the reference genome. Credit: Technology Networks. Early RNA-seq ...

Previously, it hasn’t been possible to combine scRNA-seq data with spatial information at the scale required. Cell2location solves this problem by combining the two types of information ...

In a new paper published in the journal Nature Methods, researchers at UC Santa Cruz introduce the first-ever method for analyzing RNA sequencing data genome-wide using a "pantranscriptome," which ...

Scientists use single cell RNA sequencing (scRNA-seq) to gain insights into cellular heterogeneity within complex tissues. Various technical artifacts can be present in scRNA-seq data and should be ...

As some scientists create huge, new, single-nucleus RNA-sequencing datasets ... together with tools that allow researchers to integrate their own snRNA-Seq data into the database.—Chelsea Weidman ...