Splicing and Junction Mapping

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

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 ...

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Optimizing RNA-Seq Mapping with STAR

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 ...

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