BigSur – leveraging gene correlations in single cell transcriptomic data
Scientists are using single-cell RNA sequencing (scRNAseq) to push the boundaries of what we can…
Browsing: Publications
Cornell researchers develop machine-learning diagnostic models that use cell-free molecular RNA
RNA performs a number of biological duties, from delivering genetic information to manufacturing proteins. But…
pathlinkR – analyze and interpret RNA-Seq results
RNA sequencing (RNA-Seq) is a powerful technique that helps researchers study gene expression, giving them…
scRICA-seq – simultaneous profiling of RNA isoforms and chromatin accessibility of single cells
Researchers at Sun Yat-Sen University have made an exciting breakthrough in understanding how neurons develop,…
scRNA-Seq reveals heterogeneity in fibrotic scars after spinal cord injury
Myofibroblasts generate fibrotic scars after spinal cord injury (SCI). This is typically regarded as an…
RNA sequencing and the BEYOND model together provide the key to unlocking the complex cellular landscape of the aging brain
Alzheimer’s disease (AD) has long been linked to changes in the brain, but the exact…
DORQ-seq – high-throughput quantification of femtomol tRNA pools by combination of cDNA hybridization and deep sequencing
Transfer RNAs (tRNAs) are critical molecules involved in protein synthesis, but they can be tough…
RNA sequencing and machine learning reveal how antibiotics contribute to inflammatory bowel disease risk
In a landmark study published today in Science Advances, Dr. Shai Bel and his research team…
PlantCircRNA – a comprehensive database for plant circular RNAs
Circular RNAs (circRNAs) are a fascinating type of non-coding RNA that have recently caught the…
Using wastewater RNA sequencing to identify and track new covid-19 variants
RNA sequencing has become an essential tool in tracking the spread and evolution of COVID-19,…