Learning Pathway Introduction to Galaxy and Ecological data analysis
Date: No date given
This learning path aims to teach you the basics of Galaxy and analysis of ecological data.
You will learn how to use Galaxy for analysis, and will be guided through the common
steps of biodiversity data analysis: download, check, filter and explore biodiversity data and analyze abundance data through modeling.
Keywords: beginner
Learning objectives:
- Clean GBIF dataset for further analyses
- Compute and visualize phenology of a species through the years
- Compute temporal abundance trends
- Explore Biodiversity data with taxonomic, temporal and geographical informations
- Familiarize yourself with the basics of Galaxy
- Get occurrence data on a species
- Have an idea about quality content of the data regarding statistical tests like normality or homoscedasticity and coverage like temporal or geographical coverage
- Learn how histories work
- Learn how to create a workflow
- Learn how to extract and run a workflow
- Learn how to obtain data from external sources
- Learn how to run tools
- Learn how to share a history
- Learn how to share your work
- Learn how to upload a file
- Learn how to use a tool
- Learn how to view histories
- Learn how to view results
- Learning how to construct a Generalized Linear (Mixed) Model from a usual ecological question
- Learning how to interpret a Generalized Linear (Mixed) Model
- Learning how to use an ecological analysis workflow from raw data to graphical representations
- Obtain and filter/manipulate occurrence data
- Pre-process population data with Galaxy
- Upload data from DATRAS portal of ICES
- Visualize the data to understand them
Event types:
- Workshops and courses
Sponsors: Australian BioCommons, ELIXIR Europe, Erasmus Medical Center, Pôle National de Données de Biodiversité, The Pennsylvania State University, University of Freiburg, de.NBI
Scientific topics: Ecology
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