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
http://tess.elixir-uk.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
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
http://tess.elixir-uk.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
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
http://tess.elixir-uk.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
Pathways and Network Analysis of -Omics data 2018 Module 3-Network Visualization and Analysis with Cytoscape
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Pathways and Network Analysis of -Omics data 2018 Module 3-Network Visualization and Analysis with Cytoscape
https://bioinformaticsdotca.github.io/pathways_2018
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2018-module-3-network-visualization-and-analysis-with-cytoscape
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Gary Bader
Researchers
Graduate students
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Pathways and Network Analysis of -Omics Data 2018 Module 1-Introduction to Pathway and Network Analysis
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Pathways and Network Analysis of -Omics Data 2018 Module 1-Introduction to Pathway and Network Analysis
https://bioinformaticsdotca.github.io/pathways_2018
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2018-module-1-introduction-to-pathway-and-network-analysis
Course covers the bioinformatics concepts and tools available for interpreting a gene list using pathway and network information.
Gary Bader
Researchers
Post-Doctoral Fellows
Biologists, Genomicists, Computer Scientists
Graduate Students
Pathways and Network Analysis of -Omics Data 2017 Module 3-Network Visualization and Analysis with Cytoscape
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Pathways and Network Analysis of -Omics Data 2017 Module 3-Network Visualization and Analysis with Cytoscape
https://bioinformaticsdotca.github.io/pathways_2017
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2017-module-3-network-visualization-and-analysis-with-cytoscape
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Gary Bader
Pathways and Network Analysis 2017 Module 2-Finding Over-Represented Pathways
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Pathways and Network Analysis 2017 Module 2-Finding Over-Represented Pathways
https://bioinformaticsdotca.github.io/pathways_2017
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-2017-module-2-finding-over-represented-pathways
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Gary Bader
Pathways and Network Analysis of -Omics Data 2017 Module 1-Introduction to Pathway and Network Analysis
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Pathways and Network Analysis of -Omics Data 2017 Module 1-Introduction to Pathway and Network Analysis
https://bioinformaticsdotca.github.io/pathways_2017
http://tess.elixir-uk.org/materials/pathways-and-network-analysis-of-omics-data-2017-module-1-introduction-to-pathway-and-network-analysis
Course covers the bioinformatics tools available for analyzing and conducting pathway and network analysis on a gene list.
Gary Bader
Researchers
Biologists, Genomicists, Computer Scientists
Graduate Students
Post-Doctoral Fellows