TORC – Target-Oriented Reference Construction for supervised cell-type identification in scRNA-seq
Single-cell RNA sequencing, or scRNA-seq, is a cutting-edge technique that lets scientists study gene activity…
Browsing: bioinformatics
SpotSweeper – spatially aware quality control for spatial transcriptomics
As scientists explore how genes are expressed in different parts of tissues, they increasingly rely…
CADRES – precise detection of differential RNA editing sites across varied biological conditions
RNA editing is a crucial process that allows cells to make changes to RNA molecules…
GSNCASCR – an R package to identify differentially co-expressed curated gene sets with single-cell RNA-seq data
Co-expression means two or more genes are active at the same time, often indicating they…
Gene expression after asbestos exposure explains development of malignant mesothelioma
Gene expression leading to alterations in the DNA caused by asbestos exposure may explain the…
scMCGF – multi-view clustering for single-cell RNA-seq data based on graph fusion
Single-cell RNA sequencing (scRNA-seq) has revolutionized how scientists understand the complexity of tissues by examining…
From chaos to clarity: New tool finds connections in complex cell data
Gladstone scientists unveiled a powerful computation tool that integrates different forms of biological data to…
The Curated Cancer Cell Atlas provides a comprehensive characterization of tumors at single-cell resolution
Cancer is not just a single disease, it’s an ever-changing landscape of cells with different…
DUG unlocks faster RNA sequencing with VAST Data platform & Solidigm™ storage
From seismic exploration to RNA sequencing, DUG harnesses VAST Data Platform & Solidigm QLC SSDs…
miRglmm – a generalized linear mixed model of isomiR-level counts
MicroRNAs (miRNAs) are small but powerful molecules that play a crucial role in regulating gene…