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5 materials found

Resource type: Jupyter notebook  or Book 

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

Groovy Cheminformatics with the Chemistry Development Kit

Book that describes the cheminformatics functionality of the Chemistry Development Kit taking advantage of the Groovy programming language.

Scientific topics: Chemistry, Cheminformatics

Resource type: Book

Bioinformática con Ñ

El libro está dividido en seis grandes bloques, que a su vez han sido organizados en dos Volúmenes. El primer volumen trata sobre cuestiones generales, de utilidad independientemente del área de bioinformática en que se pueda estar interesado, como bases de datos o fundamentos de programación....

Scientific topics: Systems biology, Bioinformatics

Keywords: introduction to bioinformatics, structural biology, biomolecular databases, Systems biology, phylogenetics, Programming, Sequence Analysis, DNA RNA, Virtual Screening, molecular evolution, molecular dynamics, Molecular docking, normal modes analysis, Proteins, protein folding, protein structure alignment, chromatin structure, intrinsically disordered proteins, data minning, R-programming, parallel computing, bibliography management

Resource type: Book

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