PCR cycle selection is a delicate balancing act. When preparing RNA-seq libraries, choosing too many cycles risks overcycling, which can compromise data quality and distort transcript representation.

Understand the stages of a standard RNA-seq bioinformatics workflow, including the role of QC, alignment, gene expression quantification, and specialized application analyses Identify key QC metrics ...

Advances in next-generation sequencing (NGS) have propelled genomics research to new heights. With the introduction of new sequencing platforms such as Element Biosciences’ AVITI and Ultima Genomics’ ...

RNA sequencing (RNA-seq) is a powerful transcriptomics approach for measuring differential gene expression (DGE) across the ...

Samples are commonly stored in a way that degrades RNA. Scientists are devising new ways to overcome this obstacle for RNA sequencing. RNA is more subject to degradation than DNA, whether chemical, ...

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

While bulk sequencing quickly became the preferred method, scRNA-seq has increased in popularity in the last decade. In 2015, just 6 % of RNA-seq papers used single-cell methodologies. By 2025, the ...