rSeqNP: A non-parametric approach for detecting differential expression and splicing from RNA-Seq data

March 2, 2015 Leave a comment 3,939 Views

High-throughput sequencing of transcriptomes (RNA-Seq) has become a powerful tool to study gene expression. Here researchers from the University of Michigan present an R package, rSeqNP, which implements a non-parametric approach to test for differential expression and splicing from RNA-Seq ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: rSeqNP

rSeqNP: A non-parametric approach for detecting differential expression and splicing from RNA-Seq data

STRIDE – a topic-model-based method to deconvolve spatial transcriptomics using scRNA-seq

Researchers find heart failure arises from mutations in numerous distinct genes

Transcriptome diversity in human tissues mapped with emerging long-read RNA sequencing technology

Significance analysis for clustering with single-cell RNA-sequencing data

BacDrop – droplet-based single-cell RNA-seq reveals heterogeneity in bacterial populations and in response to antibiotic perturbation

Gruffi – an algorithm for improved delineation of developmental trajectories in organoids and resemblance to in vivo data.

Combi-seq – multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets