scTrans – sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data
Understanding the complex mix of cell types in tissues is a major challenge in biology,…
Browsing: Analysis Pipelines
CoupleVAE – coupled variational autoencoders for predicting perturbational single-cell RNA sequencing data
As single-cell RNA sequencing becomes more advanced, scientists are now able to analyze the genetic…
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…
paraCell – interactive analysis and visualization of standard and dual host-parasite single-cell RNA-seq data
Researchers from the University of Glasgow have developed paraCell, a new software tool designed to…
MrHAMER2 – high-accuracy long-read RNA sequencing to decode isoform-specific variation in viral transcripts during latency
The ability of HIV to hide in a latent state, lying dormant within host cells,…
VeloVGI – accurate RNA velocity estimation based on multibatch network reveals complex lineage in batch scRNA-seq data
When scientists want to understand how cells grow, change, and develop, they often turn to…
scPAS – single-cell phenotype-associated subpopulation identifier
Recent advancements in single-cell sequencing have allowed scientists to explore the complexity of tissues by…
SurfR – identifying surface protein coding genes from expression data
Cell-surface proteins play a crucial role in how cells communicate with each other and interact…