Labroots

How to Analyze RNA-Sequencing Data: A Bioinformatics Overview

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 ...
Nature

Bridging the gap between R and Python in bulk transcriptomic data analysis with InMoose

Since the first human genome was sequenced in 2000, omic profiling technologies have seen their costs reduced by multiple orders of magnitude, and omic profiling is now performed routinely. Petabytes ...
Nature

Integrative analysis of single-cell RNA sequencing, bulk RNA sequencing, and proteomic data identified NOTCH3 as a hub gene contributing to human intervertebral disc fibrosis

Intervertebral disc degeneration (IDD) is marked by nucleus pulposus (NP) fibrosis, but its molecular drivers remain unclear. This study investigated NP cellular heterogeneity and key regulators using ...
Medical Xpress

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...