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 ...

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 ...

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) ...

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 ...

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 ...

When it comes to data, “bigger is better” is no empty phrase ... scientists presented their first analysis of two of the largest single-nucleus RNA sequencing efforts in Alzheimer’s research to date.

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 ...

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 ...