In the burgeoning field of transcriptomics, it's no surprise that those who maintain an if-it-ain't-broke-don't-fix-it mentality are being outperformed by investigators willing to embrace the power — and challenges — of nascent, albeit imperfect, technologies. As the rift between the cost of running gene-expression microarrays and RNA-sequencing continues to diminish, some researchers are ditching array-based methods in favor of technology that promises to offer more potential for data analysis.