Single-cell RNA-seq analysis pipeline in Python using scanpy. Doublet detection, quality control, normalisation, dimensionality reduction, clustering with automated resolution selection, marker-based ...

Clustering is commonly used in single-cell RNA-sequencing (scRNA-seq) pipelines to characterize cellular heterogeneity. However, current methods face two main limitations. First, they require ...

A new research paper was published in Volume 18 of Aging-US on February 8, 2026, titled "Single-cell transcriptomics reveal intrinsic and systemic T cell aging in COVID-19 and HIV." In this study, ...

A comprehensive workflow for visualization and functional analysis of differentially expressed genes (DEGs) from RNA-seq experiments. This repository provides reproducible scripts for generating ...

Immunotherapy has been a revolutionary breakthrough for cancer therapeutics, but it is still hampered in that it only benefits certain patients. Moreover, the molecular determinants of immunotherapy ...

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

Plasmidsaurus has launched a new RNA-Seq service for Illumina short read applications, bringing the same approach they use for plasmid sequencing to gene expression analysis. Attendees at this week’s ...

RNA sequencing (RNA-seq) is a powerful tool in diagnosing Mendelian disorders, but the optimized sequencing depth for this technology has not yet been determined. In a new study published in the ...

Once considered passive messengers of genetic information, RNA molecules are now understood to play an active and dynamic role in gene regulation, modulated by a rich layer of chemical modifications ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. (1) In the manuscript, ...