News From the Field

Improved RNA data visualization method gets to the bigger picture faster


February 14, 2019

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Like going from a pinhole camera to a Polaroid, a significant mathematical update to the formula for a popular bioinformatics data visualization method will allow researchers to develop snapshots of single-cell gene expression not only several times faster but also at much higher-resolution. Published in Nature Methods, this innovation by Yale University mathematicians will reduce the rendering time of a million-point single-cell RNA-sequencing data set. Full Story

Source
Yale University

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