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This Learning Pathway collects the results of Intellectual Output 3 in the Gallantries Project

Keywords: beginner

Learning objectives:

  • Annotate genome with Funannotate
  • Annotate genome with Prokka
  • Annotate lncRNAs with FEELnc
  • Classify lncRNAs according to their location
  • Compare repositories to find which are suitable for your data
  • Connect different parts of the Research Object using identifiers
  • Construct an RO-Crate by hand using JSON
  • Create a custom, annotated RO-Crate
  • Describe each part of the Research Object
  • Evaluate annotation quality with BUSCO
  • Export refined genome annotations
  • Find out what the requirements are for submitting
  • Generate a workflow test using Planemo
  • Learn about metadata and findability
  • Learn basic JSON-LD to create FAIR metadata
  • Learn best practices in data management
  • Learn how to introduce computational reproducibility in your research
  • Learn how to load JBrowse data into Apollo
  • Learn how to manually refine genome annotations within Apollo
  • Learn how to support system and content curation
  • Learn the FAIR principles
  • Load a genome into Galaxy
  • Load data (genome assembly, annotation and mapped RNASeq) into Galaxy
  • Load genome into Galaxy
  • Locate bioimage data repositories
  • Perform a transcriptome assembly with StringTie
  • Perform functional annotation using EggNOG-mapper and InterProScan
  • Recognise the relationship between FAIR and Open data
  • Understand how testing can be automated with GitHub Actions
  • Understanding, viewing and creating Galaxy Workflow Run Crates
  • Update genome annotation with lncRNAs
  • Use ORCIDs and other linked data to annotate datasets contained within the crate
  • Use Red and RepeatMasker to soft-mask a newly assembled genome
  • Validate your genes and create an official gene set from them.
  • View annotations in JBrowse

Event types:

  • Workshops and courses

Sponsors: ELIXIR Europe

Scientific topics: Genomics, Microbiology, Gene and protein families, Sequence analysis


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