A University of Michigan team introduces a catalog of antisense gene expression profiles called OncoNAT, which is based on data from hundreds of cancer samples. With strand-specific paired-end RNA sequence profiles for nearly 400 samples and dozens of cell lines representing nine tissue types, the researchers got a glimpse at the transcript types that tend to be expressed as antisense under normal circumstances and in various cancer types.

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