… One computational challenge in aligning RNA-seq reads to a reference genome is the
handling of spliced junctions, where one part of the read maps to the end of one exon and the rest …

… Single-cell RNA sequencing (scRNA-Seq) is an increasingly popular platform to study …
to process scRNA-Seq data are not very accessible to bench scientists as they require a …

… genome sequence knowledge is necessary, as RNA-seq data sets themselves can be used
to create sequence assemblies for subsequent mapping of RNA-seq … single sequencing run. …

… First, we discuss alignment and quantification, where RNA-seq reads are placed in the
context of the genome or annotation catalogs and the relative expression level of each target is …

… technology will eventually result in the ability to sequence complete transcripts using long
… of genomes solely based on RNA-Seq. However, until that time, it is imperative that genome …

… For example, easyRNASeq only accepted ENSEMBL genome annotations in our tests.
Most interfaces require many different tools in specific versions and errors might unexpectedly …

… Our RNA-Seq method allowed us to map the transcriptional landscape of the yeast genome
and define UTRs and previously unknown transcribed regions. In the future, application of …

… and read distribution over the genome structure. RSeQC takes … sequencing (RNA-seq)
provides massive and valuable information concerning all transcribed elements in the genome…

… of small RNAs and the integration of RNA-seq with other functional genomics techniques. …
community and has become a standard part of the toolkit used by the life sciences research …

… that RNA-Seq greatly improves the accuracy of prediction of protein-coding genes in the
reassembled cucumber genome… In an attempt to provide a high-quality gene set for the scientific …