News From the Field
Improved RNA data visualization method gets to the bigger picture faster
February 14, 2019
This material is available primarily for archival purposes. Telephone numbers or other contact information may be out of date; please see current contact information at media contacts.Like going from a pinhole camera to a Polaroid, a significant mathematical update to the formula for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
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