Background RNA-Seq has emerged as the standard for measuring gene expression and is
an important technique often used in studies of human disease. Gene expression …

Accurately quantifying gene expression levels is a key goal of experiments using RNA-
sequencing to assay the transcriptome. This typically requires aligning the short reads …

Abstract Background High-throughput RNA-Sequencing (RNA-Seq) has become the
preferred technique for studying gene expression differences between biological samples …

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

Background Genome annotation is a crucial component of RNA-seq data analysis. Much
effort has been devoted to producing an accurate and rational annotation of the human …

RNA‐seq is widely used to determine differential expression of genes or transcripts as well
as identify novel transcripts, identify allele‐specific expression, and precisely measure …

Background High throughput sequencing technology provides us unprecedented
opportunities to study transcriptome dynamics. Compared to microarray-based gene …

RNA-seq experiments estimate the number of genes expressed in a transcriptome as well
as their relative frequencies. However, an undetermined number of genes can remain …

Accurate estimation of expression levels from RNA-Seq data entails precise mapping of the
sequence reads to a reference genome. Because the standard reference genome contains …

Background RNA-seq is now widely used to quantitatively assess gene expression,
expression differences and isoform switching, and promises to deliver results for the entire …