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Champions Oncology

Patient-derived models for personalized cancer treatment.

Crown Bioscience

Accelerating drug discovery with predictive preclinical models.

Danaher

Accelerating scientific and clinical advances across Biotechnology, Life Sciences, and Diagnostics.

DNAnexus

Secure cloud for genomic data and global collaboration.

Form Bio

AI-driven tools for gene therapy and vector design.

UPenn

Creating new treatment options for various cancers, including CAR T-cell therapy.

Services
Data Services & Solutions

Unlock structured, scalable data for confident, insight-driven decisions—from curation to analytics.

Software & AI/ML

Build tailored platforms and ML pipelines that scale with your needs and empower your team.

Science Services

Advance discovery with science-led solutions in genomics, bioinformatics, and translational research.

AI Quickstart

Deploy foundation-model inference in six weeks—on your infrastructure, with validated notebooks and results your team can own and extend.

Products
protoXell

Cell response discovery software

PROTOplast

Cell response discovery software

protoXell

Cell response discovery software

PROTOplast

Cell response discovery software

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We are looking for innovative minds to join our team. Explore the possibilities with DataXight, where your work matters, and so do you.

The latest updates, guides and stories from DataXight

Comparing Perturbations: E-distance and Euclidean distance are Your Best Allies
{Sci-tech}
7 mins read

Comparing Perturbations: E-distance and Euclidean distance are Your Best Allies

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

Learn more
Comparing Perturbations: E-distance and Euclidean distance are Your Best Allies
{Sci-tech}
7 mins read

Comparing Perturbations: E-distance and Euclidean distance are Your Best Allies

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

Learn more
Perturbation effect is not an on-off switch
{Sci-tech}
5 mins read

Perturbation effect is not an on-off switch

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

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Globally Integrated, Strategically Aligned
{Insights}
2 mins read

Globally Integrated, Strategically Aligned

The most effective technology organizations today are no longer defined by a single geography. They are defined by how intelligently tech companies combine them. In 2026, global tech leadership is about assembling complementary capability — not concentrating everything in one market. That’s where Vietnam, Thailand, and mature tech hubs across the UK, US, and Europe align around real customer needs. US, UK, and Europe: Leadership, and Domain Depth Established tech markets across the US, the UK,

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