Splicing and Junction Mapping

Comprehensive benchmarking of RNA-Seq aligners

Alignment is the first step in most RNA-seq analysis pipelines, and the accuracy of downstream analyses depends heavily on it. Unlike most steps in the pipeline, alignment is particularly amenable to benchmarking with simulated data. Researchers from the University of ...

Read More »

Mapping eQTLs With RNA-Seq reveals a more comprehensive set of eQTLs and illuminates underlying molecular consequence missed by microarrays

Studies attempting to functionally interpret complex-disease susceptibility loci by GWAS and eQTL integration have predominantly employed microarrays to quantify gene-expression. RNA-Seq has the potential to discover a more comprehensive set of eQTLs and illuminate the underlying molecular consequence. Researchers from ...

Read More »

Optimizing RNA-Seq Mapping with STAR


Sequencing of transcribed RNA molecules (RNA-seq) is an invaluable tool for studying cell transcriptomes at high resolution and depth. RNA-seq datasets typically consist of tens to hundreds of millions of relatively short (30–200 nt) sequence fragments of the original RNA ...

Read More »