Projects

Welcome to our project exhibition, showcasing innovation and excellence led by the Data Intuitive Team, our flagship project embodying quality and creativity.
Sustainable projects lead to long-term solutions

Projects Gallery

Welcome to our exhibition of projects, a testament to where innovation aligns with excellence. Central to this endeavor is the Data Intuitive Team, our flagship and most pivotal project. Guided by this team, each venture in our portfolio embodies our steadfast commitment to quality and inventiveness.

ComPass: Connectivity Map Data Analysis
Open Source
Client Project
ComPass is an application for querying and analyzing Connectivity Map data1, also known as L1000 data but could be extended for other types of data as well. It captures the…
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High-throughput RNA sequencing
Client Project
Data Intuitive recently undertook a successful project for an undisclosed client in the top 10 pharma R&D. In this project, we co-developed a high-throughput RNA sequencing…
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Open Problems for Single-Cell Analysis
Open Source
Client Project
OpenProblems is an open-source platform for benchmarking and formalizing computational tasks in single-cell analysis. The platform aims to facilitate the development of new…
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OpenPipelines
Open Source
Client Project
In collaboration with a leading pharmaceutical company’s R&D department, we have embarked on an ambitious journey to revolutionize the field of single-cell genomics. This…
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anndata: annotated data in R
Open Source
In House Project
anndata is a commonly used Python package for keeping track of data and learned annotations, and can be used to read from and write to the h5ad file format. It is also the…
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Phylotrees for Virusbank
Open Source
Client Project
The VirusBank Initiative, an ambitious project led by KU Leuven, aims to transform the global response to viral epidemics and pandemics. At the heart of this initiative is…
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Dynverse: Inferring trajectories using dyno
Open Source
In House Project
Dynverse, utilizing the ‘dyno’ package, is a state-of-the-art framework designed for inferring cellular trajectories from single-cell RNA sequencing data. It offers a…
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