RNA-Seq has become the method of choice to quantify genes and exons, discover novel transcripts, and detect fusion genes. However, reliable variant identification from RNA-Seq data remains challenging due to the complexities of the transcriptome, the challenges of accurately mapping ...
Read More »MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing
Although the costs of next generation sequencing technology have decreased over the past years, there is still a lack of simple-to-use applications, for a comprehensive analysis of RNA sequencing data. There is no one-stop shop for transcriptomic genomics. Researchers from ...
Read More »Gene Expression, Single Nucleotide Variant and Fusion Transcript Discovery in Archival Material
Advantages of RNA-Seq over array based platforms are quantitative gene expression and discovery of expressed single nucleotide variants (eSNVs) and fusion transcripts from a single platform, but the sensitivity for each of these characteristics is unknown. Researchers at the Mayo Clinic ...
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