EDAM is an ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life cycle. Targeting usability by diverse users, EDAM's structure is relatively simple, divided into 4 sections: Topic, Operation, Data, and Format.

The code and pretrain models of EDAM-WSSS(Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation)

Stand-alone, lightweight, and fast JavaScript browser for EDAM and other ontologies

💥 The multifunctional scaffold generator.

A Firefox & Chrome extension that displays detailed information about EDAM concepts

Dynamic visualization of softwares managed by a Bioinformatics Core Facility

Ideas and code snippets for Elixir Biohackathon 2024 project 27

Communities dump their resource/software information, and have them merged

Assessing bioinformatics software annotations: bio.tools case-study

Slides, swings, and sandbox ontology

edam-vendor