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…
Browsing: bioinformatics
Circular RNA discovery with emerging sequencing and deep learning technologies
Circular RNAs (circRNAs) are a unique type of RNA molecule that form a closed loop,…
Deep dive into plant signalling data reveals a noisy “elephant in the room”
A far-reaching study has cast doubt on statistical methods used to identify long distance signalling…
A realistic FastQ-based framework – FastQDesign for scRNA-seq study design issues
Single-cell RNA sequencing (scRNA-seq) has revolutionized the way scientists study gene expression at the individual…
New machine learning tool enhances cancer detection in single-cell RNA sequencing
Cancer is a complex disease, and even within a single tumor, not all cells are…
LocusMasterTE – integrating long-read RNA sequencing improves locus-specific quantification of transposable element expression
Transposable elements (TEs), often called “jumping genes,” are mobile DNA sequences that can relocate within…
Developing advanced tools to improve accuracy and accessibility for long-read RNA sequencing
In the ever-evolving world of computational biology, one of the greatest challenges has always been…
scPAS – single-cell phenotype-associated subpopulation identifier
Recent advancements in single-cell sequencing have allowed scientists to explore the complexity of tissues by…
Research Scientist/Engineer 2, Long-Read Sequencing
This is an exciting opportunity for a Research Scientist/Engineer 2 (RSE2) to work with new…
PhOxi-seq – detecting enzyme-dependent m2G in multiple RNA types
RNA is more than just a messenger carrying genetic instructions—it undergoes complex modifications that can…