A vast amount of public RNA-sequencing datasets have been generated and used widely to
study transcriptome mechanisms. These data offer precious opportunity for advancing …

Differential splicing (DS) is a post-transcriptional biological process with critical, wide-
ranging effects on a plethora of cellular activities and disease processes. To date, a number …

Background Through alternative splicing, most human genes produce multiple isoforms in a
cell-, tissue-, and disease-specific manner. Numerous studies show that alternative splicing …

The ubiquity of RNA-seq has led to many methods that use RNA-seq data to analyze
variations in RNA splicing. However, available methods are not well suited for handling …

Thousands of alternative exons are spliced out of messenger RNA to increase protein
diversity. High‐throughput sequencing of short cDNA fragments (RNA‐seq) generates a …

Analysis of RNA sequencing (RNA-Seq) data have highlighted the fact that most genes
undergo alternative splicing (AS) and that these patterns are tightly regulated. Many of these …

Although the number of RNA-Seq datasets deposited publicly has increased over the past
few years, incomplete annotation of the associated metadata limits their potential use …

Pathway analysis of alternative splicing would be biased without accounting for the different
number of exons or junctions associated with each gene, because genes with higher …

Differences in alternative splicing patterns can reveal important markers of phenotypic
differentiation, including biomarkers of disease. Emerging large and complex RNA-seq …

Alternative splicing is a major contributor to cellular diversity. Therefore the identification and
quantification of differentially spliced transcripts in genome-wide transcript analysis is an …