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 has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical translation of diagnostic RNA-seq has not been widely achieved. Researchers at ...

Genes are expressed when messenger RNA is made from DNA, which is then translated into proteins. Researchers use single-cell and bulk RNA-seq analysis to study gene expression, creating vast amounts ...

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 ...

Of the 2,310 tumors submitted for analysis, 110 (4.8%) failed quality control, primarily due to insufficient RNA. Among samples meeting quality thresholds, sequencing was successful in 99.6%.

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Esophageal cancer, which is cancer of the swallowing tube, has only a 22.2% five-year relative survival rate, but early ...

April 14, 2025 – Genome Research (https://genome.org) publishes a second special issue highlighting advances in long-read sequencing applications in biology and medicine. In this second Special Issue, ...

Researchers from the University of Osaka have demonstrated that mitochondrial hyperfusion, when induced by low levels of DRP1 ...