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New scientific software enables researchers to explore chemical and genetic perturbations, accelerating target discovery and drug repurposing MOUNTAIN VIEW, CA – May 19, 2026 – Addressing the persistent challenge scientists face in transforming complex biological perturbation data into actionable mechanistic insight, DataXight today announced protoXell, a new scientific software designed to streamline discovery. To learn more about protoXell and explore access options, visit https://dataxight.c

Summary Our benchmarking reveals a surprising truth: in the race to translate massive perturbation datasets into discovery, the most effective mathematical "lens" isn't the most complex one. While sophisticated metrics like Wasserstein or Mean Pairwise are often favored due to their mathematical impressiveness, we found that E-distance and Euclidean distance provide the superior balance of speed and signal resolution for high-throughput pipelines. By delivering sharper biological contrast at a

In this blog, we examine how the “perturbation effect” can vary depending on the metrics used to define it, and why these differences matter. While these metrics may appear interchangeable, they often capture fundamentally different aspects of the underlying biology. As Perturb-seq datasets continue to grow exponentially, understanding how perturbation effects are measured becomes critical for reliable downstream analysis. When suppression is not an on-off switch In 2025, Nadig and colleagues