
RGStraP – direct inference and control of genetic population structure from RNA sequencing data
RNAseq data can be used to infer genetic variants, yet its use for estimating genetic…
RNAseq data can be used to infer genetic variants, yet its use for estimating genetic…
The 10x Genomics Chromium single-cell RNA sequencing technology is a powerful gene expression profiling platform,…
Researchers from the University of California Santa Cruz have developed and benchmarked Mandalorion v4.1 for…
Deconvoluting cell-state abundances from bulk RNA-sequencing data can add considerable value to existing data, but…
RNA sequencing (RNA-seq) is a powerful technique for understanding cellular state and dynamics. However, comprehensive…
Cell clustering is a prerequisite for identifying differentially expressed genes (DEGs) in single-cell RNA sequencing…
Researchers at Colorado State University have developed tiny-count, a highly flexible counting tool that allows for…
Detecting differentially expressed genes is important for characterizing subpopulations of cells. In scRNA-seq data, however,…
The identification of differentially expressed genes (DEGs) from transcriptomic datasets is a major avenue of…
One of the standard methods of high-throughput RNA sequencing analysis is differential expression. However, it…