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BioGLUE: Unified Danish ELIXIR Infrastructure for Seamless Data and Tool Interoperability

The BioGLUE project is tackling a common challenge in bioinformatics – the time-consuming task of gluing together different computational tools and data formats. Instead of manual effort, the aim of BioGLUE is to create a digital infrastructure that automatically generates the small computer programs necessary to link and process various biological data using large language models. These models, capable of understanding and generating human-like text, will be the backbone of the automation process. The project will include diverse use cases representing activities in Danish bioinformatics, ensuring versatility. By building upon the ELIXIR infrastructure and utilizing the extensive tools registry already in place, BioGLUE seeks to enhance the construction of bioinformatics workflows. The ultimate goal is to make this process more efficient, reproducible, and scalable, thereby advancing research in the life sciences.

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External project record

Imported from OpenAIRE | Grant NNF24OC0088231.

Open source

Overview

OpenAIRE record

Grant agreement NNF24OC0088231

Open source

The BioGLUE project is tackling a common challenge in bioinformatics – the time-consuming task of gluing together different computational tools and data formats. Instead of manual effort, the aim of BioGLUE is to create a digital infrastructure that automatically generates the small computer programs necessary to link and process various biological data using large language models. These models, capable of understanding and generating human-like text, will be the backbone of the automation process. The project will include diverse use cases representing activities in Danish bioinformatics, ensuring versatility. By building upon the ELIXIR infrastructure and utilizing the extensive tools registry already in place, BioGLUE seeks to enhance the construction of bioinformatics workflows. The ultimate goal is to make this process more efficient, reproducible, and scalable, thereby advancing research in the life sciences.