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8 materials found

Target audience: Professors  or programmers 


Slides from Data Management Planning Workshop

Slides from Data Management Planning online workshop for Life Science Projects for researchers at UiO 2020-12-11

Scientific topics: Data management

Operations: Data handling, Data retrieval, Deposition

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop http://tess.elixir-uk.org/materials/slides-from-data-management-planning-workshop-96479971-67e0-47d6-a5de-b2b8f4dbea62 Slides from Data Management Planning online workshop for Life Science Projects for researchers at UiO 2020-12-11 Data management Data management plan, data management PhD students Professors Professors All postgraduates
Slides from Data Management Planning Workshop

Slides from Data Management Planning online workshop for Life Science Projects for researchers at NTNU 2020-12-01

Scientific topics: Data management

Operations: Data handling, Data retrieval, Deposition

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop http://tess.elixir-uk.org/materials/slides-from-data-management-planning-workshop-08010d67-d503-436b-95b9-6fe29f47ebba Slides from Data Management Planning online workshop for Life Science Projects for researchers at NTNU 2020-12-01 Data management Data management plan, data management PhD students Professors Post Docs All postgraduates
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 http://tess.elixir-uk.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
Slides from Data Management Planning Workshop

Slides from Data Management Planning workshop for Life Science Projects in Ås 11 March 2020

Scientific topics: Data management

Operations: Deposition, Data retrieval, Data handling

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop http://tess.elixir-uk.org/materials/slides-from-data-management-planning-workshop-1bb3798d-4e70-423c-87b6-82ac7e5e5c54 Slides from Data Management Planning workshop for Life Science Projects in Ås 11 March 2020 Data management Data management plan, data management PhD students Post Docs Professors
Slides from Data Management Planning Workshop

Slides from Data Management Planning workshop for Life Science Projects in Bergen 04 March 2020

Scientific topics: Data management

Operations: Data handling, Data retrieval, Deposition

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop http://tess.elixir-uk.org/materials/slides-from-data-management-planning-workshop Slides from Data Management Planning workshop for Life Science Projects in Bergen 04 March 2020 Data management Data management plan, data management PhD students Post Docs Professors
How to use Common Workflow Language

**This is an online tutorial where you can learn how to use the Common Workflow Language (CWL).**

Scientific topics: Workflows

Keywords: commonwl, common workflow language, CWL, Workflows, eLearning, EeLP

Resource type: Installation instructions, Manual

How to use Common Workflow Language http://tess.elixir-uk.org/materials/how-to-use-common-workflow-language **This is an online tutorial where you can learn how to use the Common Workflow Language (CWL).** Rob Finn Michael Crusoe Workflows commonwl, common workflow language, CWL, Workflows, eLearning, EeLP bioinformaticians life scientists programmers
Adding nanomaterial data

This tutorial describes how nanomaterial data can be added to an eNanoMapper server using a RDF format.

Scientific topics: Database management, Toxicology

Keywords: nanotoxicology, enanomapper, resource description framework, ontology

Resource type: Tutorial

Adding nanomaterial data http://tess.elixir-uk.org/materials/adding-nanomaterial-data This tutorial describes how nanomaterial data can be added to an eNanoMapper server using a RDF format. Database management Toxicology nanotoxicology, enanomapper, resource description framework, ontology programmers data entering
Parsing data records using Python programming

This is a module from the "Python for Biologists" course. One typical problem in bioinformatics is parsing data files. This module explains how to parse FASTA files and GenBank records. It also introduces the if/elif/else construct to make choice in programming and the list  data structure. The...

Keywords: Bioinformatics, Programming, Python, Python biologists, Record parsing

Parsing data records using Python programming http://tess.elixir-uk.org/materials/parsing-data-records-using-python-programming This is a module from the "Python for Biologists" course. One typical problem in bioinformatics is parsing data files. This module explains how to parse FASTA files and GenBank records. It also introduces the if/elif/else construct to make choice in programming and the list  data structure. The text of exercises is provided in a separate file.  Bioinformatics, Programming, Python, Python biologists, Record parsing Biologists beginner bioinformaticians bioinformaticians programmers 2013-07-05 2017-10-09