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3 materials found

Target audience: software engineers 


Plant Phenotyping Data managment (MIAPPE)

This material is first targetting plant biologist willing to describe and annotate their phenotyping experiments before publication. Database managers and software developpers will also receive an introduction of the current plant phenotyping standards (MIAPPE, BrAPI, Crop ontology). Learners...

Scientific topics: Data management, Plant biology, Phenomics

Operations: Formatting, Annotation

Keywords: Plant Phenotyping, Data-format, data sharing

Resource type: Training materials

Plant Phenotyping Data managment (MIAPPE) https://tess.elixir-europe.org/materials/plant-phenotyping-data-managment-miappe This material is first targetting plant biologist willing to describe and annotate their phenotyping experiments before publication. Database managers and software developpers will also receive an introduction of the current plant phenotyping standards (MIAPPE, BrAPI, Crop ontology). Learners will know how to use standards and ontologies, how to describe their measurment protocole and practices how to fill a template with their data and how to apply the standards concept in some data managment tools. Data management Plant biology Phenomics Plant Phenotyping, Data-format, data sharing Biologists geneticists plant researchers software engineers database managers
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](https://numpy.org/), [Scipy](https://scipy.org/scipylib/index.html),...

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

DE-Sim examples, tutorials, and documentation https://tess.elixir-europe.org/materials/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](https://numpy.org/), [Scipy](https://scipy.org/scipylib/index.html), [pandas](https://pandas.pydata.org/), and [SQLAlchemy](https://www.sqlalchemy.org/) to build and simulate complex computational models. Similar to [Simula](http://www.simula67.info/), *DE-Sim* models are implemented by defining logical process objects which read the values of a set of shared variables and schedule events to modify their values at discrete instants in time. This website provides examples, tutorials, and documentation for *DE-Sim*. Computational biology Mathematics Computer science Simulation experiment data-driven modeling, Computational modelling, discrete-event simulation, DES, object-oriented programming, Python, data visualization, Data Science computational scientists Computational biologists bioinformaticians software engineers programmers
InterMine operator manual

Documentation on how to install, configure and operate an InterMine instance.

Keywords: Data integration, Data analysis, Data publishing, FAIR

Resource type: Documentation

InterMine operator manual https://tess.elixir-europe.org/materials/intermine-operator-manual Documentation on how to install, configure and operate an InterMine instance. Data integration, Data analysis, Data publishing, FAIR Bioinformaticians software engineers