Over the past few decades, RNA sequencing has significantly progressed, becoming a
paramount approach for transcriptome profiling. The revolution from bulk RNA sequencing …

Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for
transcriptome-wide analysis of differential gene expression and differential splicing of …

Treating patients who have cancer with vaccines that stimulate a targeted immune response
is conceptually appealing, but cancer vaccine trials have not been successful in late-stage …

Background In order to correctly decode phenotypic information from RNA-sequencing
(RNA-seq) data, careful selection of the RNA-seq quantification measure is critical for inter …

Whitefly (Bemisia tabaci) is a phloem-feeding global agricultural pest belonging to the order
Hemiptera. Foliar application of double-stranded RNA (dsRNA) represents an attractive …

RNA sequencing using the latest single-molecule sequencing instruments produces reads
that are thousands of nucleotides long. The ability to assemble these long reads can greatly …

We leveraged IDH wild-type glioblastomas, derivative neurospheres, and single-cell gene
expression profiles to define three tumor-intrinsic transcriptional subtypes designated as …

We introduce Salmon, a lightweight method for quantifying transcript abundance from RNA–
seq reads. Salmon combines a new dual-phase parallel inference algorithm and feature-rich …

RNA-seq is currently considered the most powerful, robust and adaptable technique for
measuring gene expression and transcription activation at genome-wide level. As the …

Background RNA-seq is widely used for transcriptomic profiling, but the bioinformatics
analysis of resultant data can be time-consuming and challenging, especially for biologists …