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Why modern omics data projects need better workflow tools

In today’s fast-paced research and development environments, the ability to build, maintain and scale data processing workflows efficiently isn’t just a technical necessity…

10 Common pitfalls in omics data processing

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Data Intuitive fuels Tabula Sapiens v2

We’re thrilled to share the exciting news of the Tabula Sapiens v2 preprint launch on bioRxiv! 🎉 Data Intuitive is proud to have played a key role in this groundbreaking…

Robrecht Cannoodt

Navigating the use of LLMs for Code Generation

Data Intuitive is committed to streamlining bioinformatics workflow development processes. Our core tool, Viash¹, was developed to simplify and standardize computational…

Standardizing Benchmarks in Spatial Omics with OpenProblems

Spatial omics is an emerging field that is allowing researchers to unravel the complexities of cellular organization and function within their native tissue context. Given…

Sai Nirmayi Yasa

Data Intuitive’s Impact at the Inaugural scverse Conference 2024

Data Intuitive was thrilled to be part of the very first scverse Conference, held at the Technical University of Munich (Schedule). With around 150 single-cell…

Robrecht Cannoodt

Data Intuitive Embraces Sustainable Tech with Framework Laptops

Data Intuitive is thrilled to announce our move towards sustainability by adopting Framework. Framework laptops, a decision that mirrors our commitment to innovative and…

GitHub Action: Reclaim The Bytes

In the dynamic world of data science and software development, making efficient use of available resources is not just an option but an absolute necessity. In a lot of our…

Robrecht Cannoodt

anndataR at the scverse 2023-04 hackathon

I had the privilege of participating in the scverse Hackathon in Heidelberg hosted by the Stegle and Saez labs. It was an exhilarating event packed with exciting…

Robrecht Cannoodt

A Practical Approach to Model Error - Part 2

It’s been a while since I first wrote about tackling model error using a simple model. It’s about time to come back to it.

A Practical Approach to Model Error

In this post, I want to get a better sense of the effects of model error by simulating a very simple model for the spreading of a virus. It’s based on an analysis performed…

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