Background RNA sequencing has become a ubiquitous technology used throughout life
sciences as an effective method of measuring RNA abundance quantitatively in tissues and …

Transcriptional profiling using RNA sequencing (RNAseq) has emerged as a powerful
methodology to quantify global gene expression patterns in various contexts from single …

Background With the cost of DNA sequencing decreasing, increasing amounts of RNA-Seq
data are being generated giving novel insight into gene expression and regulation. Prior to …

A visualization suite for major forms of bulk and single-cell RNAseq data in R. dittoSeq is
color blindness-friendly by default, robustly documented to power ease-of-use and allows …

RaNA-Seq is a cloud platform for the rapid analysis and visualization of RNA-Seq data. It
performs a full analysis in minutes by quantifying FASTQ files, calculating quality control …

Ribonucleic acid sequencing (RNA-seq) identifies and quantifies RNA molecules from a
biological sample. Transformation from raw sequencing data to meaningful gene or isoform …

Background: Many bioinformatics pipelines are available nowadays to analyze
transcriptomics data produced by high-throughput RNA sequencing. They implement …

The extensive generation of RNA sequencing (RNA-seq) data in the last decade has
resulted in a myriad of specialized software for its analysis. Each software module typically …

Quantitative analysis of gene expression is crucial for understanding the molecular
mechanisms underlying genome regulation. RNA‐seq is a powerful platform for …

Processing raw reads of RNA-sequencing (RNA-seq) data, no matter public or newly
sequenced data, involves a lot of specialized tools and technical configurations that are …