Researchers at Baylor College of Medicine and collaborating institutions used complementary approaches that integrate exome ...

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 ...

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 ...

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 ...

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) ...

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 ...

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 ...

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 ...

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.