Healthcare

Turning Genomic Data into Discovery

Big Data gene sequencing for cancer detection, MVP Design & Build.

Medical researchers examining cellular microscopy imaging data, demonstrating the scientific analysis supported by Flexomics platform

Results

Processed massive datasets from multi-cell sequencing to detect cancer biomarkers.

Designed and delivered FLXplorer; a platform that consolidates imaging, sequencing, and data visualization in one place.

Enabled real-time exploration, analysis, and export of genomic insights for peer-reviewed research.

Reduced manual analysis time from hours to minutes through automation and interactive visualization.

Highlights / Intro

Flexomics developed a groundbreaking method to merge microscope-based imaging with gene sequencing, enabling scientists to map cell behavior and identify cancer markers faster than ever.

To bring their innovation to life, they needed a partner who could handle complex data at scale and translate it into intuitive, visual tools researchers could trust.

unosquare met the challenge, building FLXplorer, an interactive analysis platform that transforms raw biological data into accessible, actionable insights.

Challenge

Flexomics faced two simultaneous challenges:

Managing and processing massive volumes of genomic data from multi-cell samples.

Creating a visualization system that could simplify high-dimensional datasets into intuitive, research-ready charts and plots.

They needed a platform that could perform with scientific rigor while offering a clean, user-friendly interface for researchers and lab teams.

Solution

unosquare delivered a full-stack MVP that unified data processing, visualization, and peer review in a single cloud-based application.
Built using SvelteKit, AWS, and Python, FLXplorer enables researchers to visualize and compare genomic data interactively; no manual spreadsheets required.

Scope:

  • Strategy & Design
  • Front-End & Back-End Development
  • Complex Charting Presentation (~20 screens)

Tech Stack

SvelteKit · AWS · Python

unosquare’s Centers of Excellence collaborated to ensure speed, scientific accuracy, and usability:

AI COE → Sructured, optimized, and visualized large-scale biological datasets.

Cloud & Infrastructure COE → Enabled secure, scalable data processing on AWS.

Software Engineering COE → Built an efficient, high-performance architecture for seamless analysis and export.

Design COE → Delivered a clean interface that makes scientific complexity simple and intuitive.

“We cannot thank all of you enough for guiding us through our first UI/UX development. It has been fantastic working with the whole team on this… and we look forward to working with you again on a future v2 of FLXplorer!”

Mag Soumillion, CEO & Co-Founder
Flexomics

Where precision meets possibility, discovery accelerates.

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