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 areas ...

However, RNA can also be highly modified, and more than 170 types of modification to RNA have been identified so far. Current methods for mapping and sequencing RNA and its modifications - also known ...

The ability to analyze gene expression at the single-cell level—known as single-cell RNA sequencing (scRNA-seq)—has ...

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 ...

Researchers at UC Santa Cruz introduce the first-ever method for analyzing RNA sequencing data genome-wide using a “pantranscriptome,” which combines a transcriptome and a pangenome, creating ...

Explore the fundamentals of RNA-seq, its applications in gene expression analysis and a step-by-step protocol. Learn more now. ... can then be aligned to a reference genome if available or assembled ...

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 ...

The use of the Bradley lab pipeline to analyze RNA sequencing data from other cell types and/or disease-linked samples will likely increase splice site discovery as well. Additionally, the Bradley lab ...

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 ...

Our peer-reviewed reports present the evidence-based consensus of committees of experts. Published proceedings record the presentations and discussions that take place at hundreds of conferences, ...