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4 materials found

Resource type: Jupyter notebook  or API reference 


BioExcel Building Blocks (BioBB) Training Material

BioExcel Building Blocks (BioBB) is a software library for interoperable biomolecular simulation workflows, built within the BioExcel CoE project, and developed following best practices on software development aligned with ELIXIR.

Keywords: molecular dynamics, Docking, Modeling, life sciences

Resource type: Jupyter notebook

DE-Sim examples, tutorials, and documentation

DE-Sim is an open-source, Python-based object-oriented discrete-event simulation (DES) tool that makes it easy to use large, heterogeneous datasets and high-level data science tools such as NumPy, Scipy,...

Scientific topics: Computational biology, Mathematics, Computer science, Simulation experiment

Operations: Visualisation, Modelling and simulation

Keywords: data-driven modeling, Computational modelling, discrete-event simulation, DES, object-oriented programming, Python, data visualization, Data Science

Resource type: examples, Tutorial, Jupyter notebook, API reference

bio.tools documentation

bio.tools provides essential scientific and technical information about software tools, databases and services for bioinformatics and the life sciences.

Some notable bio.tools documentation links:
- About bio.tools
- [Installing bio.tools on your...

Scientific topics: Ontology and terminology, Computational biology, Data submission, annotation, and curation, Bioinformatics

Operations: Data retrieval

Keywords: Tools, Curation, Software, Sofware curation, Tool curation

Resource type: Documentation, API reference

Introductory image processing on biological images using python.

This is an image processing practical for students with an interest in analysing biologically derived images. It is written in the language python and utilises jupyter notebook for annotation and visualisation of the code. The practical is beginner level, although some knowledge of python is...

Resource type: Jupyter notebook, PDF