dsRID – in silico identification of dsRNA regions using long-read RNA-seq data
Double-stranded RNAs (dsRNAs) are potent triggers of innate immune responses upon recognition by cytosolic dsRNA…
Browsing: Publications
FUN-PROSE – predicting the response of fungal genes
Signals from the environment set off a cascade of changes that affect different genes in…
Unraveling the timeline of gene expression – a pseudotemporal trajectory analysis of single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) technologies have rapidly developed in recent years. The droplet-based single cell…
INVADEseq – cataloging bacterial diversity within tumor samples
It is said in Spanish, “si no existe, créalo” or “if it does not exist,…
RNA sequencing identifies genetic effects of traumatic brain injury using an artificial brain
The severity of traumatic brain injury (TBI) has been underscored in the last decade as…
Researchers develop new method to identify and remove background noise from single cell data
CITE-seq (cellular indexing of transcriptomes and epitopes) is an RNA sequencing-based method that simultaneously quantifies…
scReadSim – a single-cell RNA-seq and ATAC-seq read simulator
Benchmarking single-cell RNA-seq (scRNA-seq) and single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq) computational tools…
A longitudinal single-cell atlas of treatment response in pediatric AML
Pediatric acute myeloid leukemia (pAML) is characterized by heterogeneous cellular composition, driver alterations and prognosis.…
UC Irvine researchers discover how to better support lab grown muscle cells after transplantation
Lab-grown skeletal muscle cells transplanted into mice with a muscular dystrophy for 90 days are…
Combined RNA sequencing and artificial intelligence predicts changes in gene expression as cells interact
The cells that make up our bodies are constantly communicating with each other, sometimes directly…