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 ...

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

This article and associated images are based on a poster originally authored by Marisa Amato and presented at ELRIG Drug Discovery 2025 in affiliation with Singleron Biotechnologies GmbH. This poster ...

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

SG-NEx provides an open-access resource for the global research community, accelerating biomarker discovery and precision medicine through: Singapore – A team of scientists led by the A*STAR Genome ...

Pacific Biosciences of California PACB, also known as PacBio, recently entered a collaboration with Blank Bio, an applied AI ...

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 ...

In a single experiment, scientists can decipher the entire genomes of many patient samples, animal models or cultured cells. To fully realize the potential to study biology at this unprecedented scale ...

Exploring the differentiation of iPSC to trunk tenocytes and how the single-cell RNA sequencing and pathway analysis can assist in making it more specific.