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Updated: Jan 21, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
The bio.tools registry of software tools and data resources for the life sciences
Jon Ison1, Hans Ienasescu2, Piotr Chmura3
1National Life Science Supercomputing Center, Technical University of Denmark, Building 208, DK-2800, Kongens Lyngby, Denmark. jison@bioinformatics.dtu.dk.
Abstract:
Bioinformaticians and biologists rely increasingly upon workflows for the flexible utilization of the many life science tools that are needed to optimally convert data into knowledge. We outline a pan-European enterprise to provide a catalogue ( https://bio.tools ) of tools and databases that can be used in these workflows. bio.tools not only lists where to find resources, but also provides a wide variety of practical information.
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