Helis Academy course FAIR data stewardship 2021, Day 6, FAIR Data
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 6, March 31, 2021
Scientific topics: FAIR data, Data management
Operations: Data handling
Keywords: FAIR data, Data management planning, Metadata
Resource type: Slidedeck
Helis Academy course FAIR data stewardship 2021, Day 6, FAIR Data
https://doi.org/10.5281/zenodo.4648062
http://tess.elixir-uk.org/materials/helis-academy-course-fair-data-stewardship-2021-day-6-fair-data
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 6, March 31, 2021
Nikola Vasiljevic
FAIR data
Data management
FAIR data, Data management planning, Metadata
PhD candidates
Research Data Management Introduction for researchers
Short summary of the previous session
1.Scope of the DM
2.DMP Content and structure
Practical activities
3.Planning the DM of a simple project
4.DMP evaluation
Scientific topics: Data management, FAIR data
Keywords: ELIXIR-CONVERGE, DMP, data management plan, research data management, FAIR principles, DMP tools, DMP templates, tools, template, competency, DMP evaluation, evaluation, on-line, e-learning
Resource type: PDF, e-learning, slideck/ presentation
Research Data Management Introduction for researchers
https://b2drop.bsc.es/index.php/s/QNMKXn7M3TQzwCt
http://tess.elixir-uk.org/materials/research-data-management-introduction-for-researchers
Short summary of the previous session
1.Scope of the DM
2.DMP Content and structure
Practical activities
3.Planning the DM of a simple project
4.DMP evaluation
Nadia Tonello
Data management
FAIR data
ELIXIR-CONVERGE, DMP, data management plan, research data management, FAIR principles, DMP tools, DMP templates, tools, template, competency, DMP evaluation, evaluation, on-line, e-learning
Researchers
PhD students
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://github.com/KarrLab/de_sim
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*.
Jonathan Karr
Arthur Goldberg
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
Jaqpot Hackathon - Training materials
Under the subtitle “Take your research from the bench to the community by making your models available as a web service”, attendees learned how to use the Jaqpot suite and python to go from data to model, starting from a common CSV file.
Jaqpot is a computational platform for in silico...
Keywords: nanoinformatics, toxicity prediction, e-tools, Modeling, data FAIRness
Jaqpot Hackathon - Training materials
https://infrastructure.nanocommons.eu/events/40/online-jaqpot-hackathon-take-your-research-from-the-bench-to-the-community-by-making-your-models-available-as-a-web-service/
http://tess.elixir-uk.org/materials/jaqpot-hackathon-training-materials
Under the subtitle “Take your research from the bench to the community by making your models available as a web service”, attendees learned how to use the Jaqpot suite and python to go from data to model, starting from a common CSV file.
Jaqpot is a computational platform for in silico modelling of chemical compounds, that provides both access to its services both over a User Interface (GUI) and an Application Programming Interface (API). It is a cloud-ready application that uses the benefits of Java, R and Python, having incorporated functionality by various established and open-source machine learning and data analysis toolkits, while algorithms in any programming algorithm can be added to Jaqpot.
Attached you find the following presentations:
1. Intro to NanoCommons by Martin Himly, PLUS
2. Electronic Lab Notebooks by Iseult Lynch, UoB
3. NanoCommons Knowledgebase by Dieter Maier, Biomax
4. Jaqpot Suite by Philip Doganis, NTUA
Martin Himly, PLUS
Iseult Lynch, UoB
Dieter Maier, Biomax
Philip Doganis, NTUA
Lee Walker, UKCEH
Christine Balmer, UKCEH
Irini Liampa, NTUA
Pantelis Karatzas, NTUA
Beatriz Alfaro Serrano, BNN
Harry Sarimveis, NTUA
nanoinformatics, toxicity prediction, e-tools, Modeling, data FAIRness
BioSimulations tutorial and help
BioSimulations is a web application for sharing and re-using biomodels, simulations, and visualizations of simulations results. BioSimulations supports a wide range of modeling frameworks (e.g., kinetic, constraint-based, and logical modeling), model formats (e.g., BNGL, CellML, SBML), and...
Scientific topics: Simulation experiment, Systems biology, Computational biology
Operations: Modelling and simulation, Visualisation
Keywords: SystemsBiology, ComputationalBiology, Computational modelling, Modeling, Biomodelling, Model, Kinetic modeling, SED-ML, COMBINE
Resource type: Documentation
BioSimulations tutorial and help
https://www.biosimulations.org/about/help
http://tess.elixir-uk.org/materials/biosimulations-help
BioSimulations is a web application for sharing and re-using biomodels, simulations, and visualizations of simulations results. BioSimulations supports a wide range of modeling frameworks (e.g., kinetic, constraint-based, and logical modeling), model formats (e.g., BNGL, CellML, SBML), and simulation tools (e.g., COPASI, libRoadRunner/tellurium, NFSim, VCell). BioSimulations aims to help researchers discover published models that might be useful for their research and quickly try them via a simple web-based interface.
Jonathan Karr
Bilal Shaikh
Simulation experiment
Systems biology
Computational biology
SystemsBiology, ComputationalBiology, Computational modelling, Modeling, Biomodelling, Model, Kinetic modeling, SED-ML, COMBINE
Life Science Researchers
Computational biologists
modelers
Datanator tutorial
Datanator is an integrated database of genomic and biochemical data designed to help investigators find data about specific molecules and reactions in specific organisms and specific environments for meta-analyses and mechanistic models. Datanator currently includes metabolite concentrations, RNA...
Scientific topics: Omics, Bioinformatics, Systems biology, Cell biology, Molecular biology
Operations: Filtering, Query and retrieval
Keywords: genomics, Proteomics, transcriptomics, Metabolomics, reaction kinetics, Kinetic modeling, meta analysis
Resource type: Tutorial
Datanator tutorial
https://www.datanator.info/help
http://tess.elixir-uk.org/materials/datanator-tutorial
Datanator is an integrated database of genomic and biochemical data designed to help investigators find data about specific molecules and reactions in specific organisms and specific environments for meta-analyses and mechanistic models. Datanator currently includes metabolite concentrations, RNA modifications and half-lives, protein abundances and modifications, and reaction kinetics integrated from several databases and numerous publications. The Datanator website and REST API provide tools for extracting clouds of data about specific molecules and reactions in specific organisms and specific environments, as well as data about similar molecules and reactions in taxonomically similar organisms.
This tutorial provides a brief introduction to the Datanator database and web application. The tutorial illustrates how to search the Datanator database and obtain and refine clouds of data about specific metabolites, RNA, proteins, and reactions of interest.
Yosef Roth
Jonathan Karr
Omics
Bioinformatics
Systems biology
Cell biology
Molecular biology
genomics, Proteomics, transcriptomics, Metabolomics, reaction kinetics, Kinetic modeling, meta analysis
mololecular cell biologists
systems biologists
bioinformaticians
Computational biologists
modelers
Introduction to GitHub
The aim for today is to learn the basics of GitHub so that you can use it for your own projects.
- Background
- What is version control? What is Git? What is GitHub?
- How can you use GitHub? How can it be useful for your work?
- Practical session: working with GitHub
Keywords: GitHub, Reproducibility
Resource type: Training materials
Introduction to GitHub
https://github.com/semacu/20190927_IntroductionGithub_HDRUK/blob/master/README.md
http://tess.elixir-uk.org/materials/introduction-to-github
The aim for today is to learn the basics of GitHub so that you can use it for your own projects.
- Background
- What is version control? What is Git? What is GitHub?
- How can you use GitHub? How can it be useful for your work?
- Practical session: working with GitHub
Sergio Martínez Cuesta
Gabriella Rustici
GitHub, Reproducibility
Senior Managers
Beginners introduction to Git and GitHub
__Morning session__ (Sergio and Mark) https://tinyurl.com/git-intro-zoology:
- Background and motivation
- What is version control? What is Git? What is GitHub?
- How can you use Git and GitHub? How can they be useful for you?
- Practical session: working with Git and GitHub
__Afternoon...
Keywords: Git, GitHub, control version, Reproducibility
Resource type: Training materials
Beginners introduction to Git and GitHub
https://github.com/semacu/20181003_Intro_git_GitHub/blob/master/README.md
http://tess.elixir-uk.org/materials/beginners-introduction-to-git-and-github
__Morning session__ (Sergio and Mark) https://tinyurl.com/git-intro-zoology:
- Background and motivation
- What is version control? What is Git? What is GitHub?
- How can you use Git and GitHub? How can they be useful for you?
- Practical session: working with Git and GitHub
__Afternoon session__ (Mark and Anne) https://tinyurl.com/git-course: markdown, pages and wikis; creating good README files; issue tracking; sofware licenses
Sergio Martínez Cuesta
Mark Fernandes
pajanne
Git, GitHub, control version, Reproducibility
Researchers
Ready For BioData Management?
"Ready For BioData Management?" is BioData.pt/ELIXIR-Portugal's capacity building program in data management for the life sciences.
Scientific topics: Data management
Keywords: Data managment plan
Resource type: course materials
Ready For BioData Management?
https://github.com/BioData-PT/Ready4BioDataManagement
http://tess.elixir-uk.org/materials/ready-for-biodata-management
"Ready For BioData Management?" is BioData.pt/ELIXIR-Portugal's capacity building program in data management for the life sciences.
Daniel Faria
João Cardoso
Marta Silva
Data management
Data managment plan
Life Science Researchers
PhD students
Master students
Technicians
High Performance Computing (HPC) in Life Sciences
High-throughput sequencing data analysis requires new technical competencies and HPC is one of them. SIB has developed an e-learning module in HPC, as part of the ELIXIR-EXCELERATE project. e-learning has the potential to reach a wider audience, in any location and any time, and can be used...
Scientific topics: Biology, Bioinformatics, Computer science
Keywords: High performance computing, high-performance computing
Resource type: Tutorial, Slideshow, e-learning
High Performance Computing (HPC) in Life Sciences
https://edu.sib.swiss/course/view.php?name=HPCel
http://tess.elixir-uk.org/materials/high-performance-computing-hpc-in-life-sciences
High-throughput sequencing data analysis requires new technical competencies and HPC is one of them. SIB has developed an e-learning module in HPC, as part of the ELIXIR-EXCELERATE project. e-learning has the potential to reach a wider audience, in any location and any time, and can be used either as the electronic component of a blended training format or as a self-running learning product.
Robin Engler
Vassilios Ioannidis
Grégoire Rossier
Volker Flegel
Heinz Stockinger
Biology
Bioinformatics
Computer science
High performance computing, high-performance computing
PhD students
All postgraduates
Life Science Researchers
Open Science MOOC: Module 5, Open Research Software and Open Source
Software and technology underpin modern science. There is an increasing demand for more sophisticated open source software, matched by an increasing willingness for researchers to openly collaborate on new tools. These developments come with a specific ethical, legal and economic challenges that...
Open Science MOOC: Module 5, Open Research Software and Open Source
https://doi.org/10.5281/zenodo.1325080
http://tess.elixir-uk.org/materials/open-science-mooc-module-5-open-research-software-and-open-source
Software and technology underpin modern science. There is an increasing demand for more sophisticated open source software, matched by an increasing willingness for researchers to openly collaborate on new tools. These developments come with a specific ethical, legal and economic challenges that impact upon research workflows. This module will introduce the necessary tools required for transforming software into something that can be openly accessed and re-used by others.
open source
Introductory image processing on biological images using python.
A jupyter notebook python practical designed to give students a introduction to opening and processing image files derived from biological samples.
Resource type: Jupyter notebook, PDF
Introductory image processing on biological images using python.
https://github.com/dwaithe/model-training/
http://tess.elixir-uk.org/materials/introductory-image-processing-on-biological-images-using-python
A jupyter notebook python practical designed to give students a introduction to opening and processing image files derived from biological samples.
Dominic Waithe
Anatole Chessel
Volker Baecker
Bioimage Analysts
Image Analysts
Computer Vision scientists
bioinformaticians
computational scientists
Biophysicists
Biologists
Microscopists
Python for Biologists
PhD students
R Basics Quiz
R Basics Quiz
https://edu.isb-sib.ch/course/view.php?id=52
http://tess.elixir-uk.org/materials/r-basics
No description provided.
UNIX Fundamentals
UNIX Fundamentals
https://edu.isb-sib.ch/course/view.php?id=82
http://tess.elixir-uk.org/materials/unix-fundamentals
No description provided.
2014-01-13