TeSS Training eSupport System

Plant Phenotyping Data managment Webinar (MIAPPE)

The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking...

Scientific topics: Data submission, annotation and curation, Data quality management, Phenomics, Plant biology

Operations: Standardisation and normalisation

Resource type: Video, Slides

Plant Phenotyping Data managment Webinar (MIAPPE) https://youtu.be/4FOQPAWl6_M https://tess.elixir-europe.org/materials/plant-phenotyping-data-managment-webinar-miappe The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards. This Webinar will give an overview of the current practices and methods for plant phenotyping data standardization, and how to deal with the variability and heterogeneity inherent to research and breeding data sets. Data management approaches at some of the major research organizations will be given as examples. The recording is available [here](https://youtu.be/4FOQPAWl6_M) and the slides are [here](https://drive.google.com/file/d/1FORlCX662T9dxiG4uzQwVXDXnq-sP0FP/view?usp=sharing) Cyril Pommier Cyril Pommier Anne-Françoise Adam-Blondon Célia Michotey Data submission, annotation and curation Data quality management Phenomics Plant biology Researchers Biologists, Genomicists, Computer Scientists Biologists software developers, bioinformaticians

IFB Shiny training

Shiny package training (in french)

Keywords: R-programming, Reproducible Science

IFB Shiny training https://ifb-elixirfr.github.io/IFB_Shiny_training/ https://tess.elixir-europe.org/materials/ifb-shiny-training Shiny package training (in french) Frederic Schütz Cédric Midoux Christophe Malabat Hélène Chiapello Jacques van Helden R-programming, Reproducible Science bioinformaticians statisticians

FAIR principles applied to bioinformatics

Content of the training material: - Introduction to reproducibility - encapsulate a work environment (docker) - design and execute workflows (snakemake) - IFB infrastructure (Slurm cluster) - managing software versions (git) - managing software environments (conda) - ensure...

Keywords: FAIR, Reproducible Science, Open science

Resource type: Training materials

FAIR principles applied to bioinformatics https://github.com/IFB-ElixirFr/IFB-FAIR-bioinfo-training https://tess.elixir-europe.org/materials/fair-principles-applied-to-bioinformatics Content of the training material: - Introduction to reproducibility - encapsulate a work environment (docker) - design and execute workflows (snakemake) - IFB infrastructure (Slurm cluster) - managing software versions (git) - managing software environments (conda) - ensure the traceability of analysis using Notebooks. The training material is in french Thomas Denecker Claire Toffano-Nioche Céline Hernandez Julien Seiler Gildas Le Corguillé Hélène Chiapello FAIR, Reproducible Science, Open science bioinformaticians software developers, bioinformaticians computational scientists

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://github.com/MIAPPE/training/tree/master/Paris-Feb-2020 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. Cyril Pommier Daniel Faria Evangelia Papoutsoglou Célia Michotey Elizabeth Arnaud Anne-Françoise Adam-Blondon Data management Plant biology Phenomics Plant Phenotyping, Data-format, data sharing Biologists geneticists plant researchers software engineers database managers

Initiation to R programming and descriptive statistics

On-line course support for the initiation to R programming and descriptive statistics given to PhD students at Institut Pasteur (Paris, France).

Keywords: R-programming, Descriptive statistics, Statistics, Bioinformatics

Initiation to R programming and descriptive statistics https://hub-courses.pages.pasteur.fr/R_pasteur_phd/index.html https://tess.elixir-europe.org/materials/initiation-to-r-programming-and-descriptive-statistics On-line course support for the initiation to R programming and descriptive statistics given to PhD students at Institut Pasteur (Paris, France). Institut Pasteur, Bioinformatics and Biostatistics Hub Blaise Li Étienne Kornobis Sébastien Mella Vincent Guillemot R-programming, Descriptive statistics, Statistics, Bioinformatics PhD students Post-Doctoral Fellows Biologists

WheatIS DataDiscovery webinar

The [WheatIS project](http://www.wheatis.org/) aims at building an International Wheat Information System to support the wheat research community. The main objective is to provide a single-access web base system to access to the available data resources and bioinformatics tools. The project is...

Scientific topics: Data management

Keywords: wheat, information system, data discovery

Resource type: Webinar, Slides, Video

WheatIS DataDiscovery webinar https://wheat-urgi.versailles.inrae.fr/About-us/News/WheatIS-webinar-replay https://tess.elixir-europe.org/materials/wheatis-datadiscovery-webinar The [WheatIS project](http://www.wheatis.org/) aims at building an International Wheat Information System to support the wheat research community. The main objective is to provide a single-access web base system to access to the available data resources and bioinformatics tools. The project is endorsed by the [Wheat Initiative](https://www.wheatinitiative.org/). The [WheatIS DataDiscovery tool](https://urgi.versailles.inrae.fr/wheatis/) allows to search data in all the wheat resources around the world. This Webinar described how to use the tool, what data are available, how to join, etc. The replay is available on [Youtube](https://youtu.be/FoVXBhO8arY). Raphaël Flores Cyril Pommier Nicolas Francillonne Hadi Quesneville Anne-Françoise Adam-Blondon Michael Alaux Taner Sen Data management wheat, information system, data discovery Researchers Scientists

Getting started with Bioschemas

### "How to do" guidelines about: * What and why schema.org * What and why bioschemas.org * How-to select the right profile for your resource * How-to mark up your own resource with Bioschemas

Keywords: Bioschemas, Standards

Getting started with Bioschemas https://bioschemas.gitbook.io/training-portal/ https://tess.elixir-europe.org/materials/getting-started-with-bioschemas ### "How to do" guidelines about: * What and why schema.org * What and why bioschemas.org * How-to select the right profile for your resource * How-to mark up your own resource with Bioschemas Bioschemas, Standards

bio.tools & EDAM drop-in hackathon & discussions

bio.tools, EDAM drop-in hackathon and discussions