Training materials
Licence: Creative Commons Attribution 4.0 International
and Target audience: Anyone dealing with human proteins, with no or ... or Novice users of HPC and anyone who expects to n... or PhD Students or Researcher or life science researchers or science students
-
online course, Online material
Tools and Practices for FAIR Research Software
• beginnerFAIR FAIR Research Software -
Slides
Life Sciences Research Data Management 2023 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
Tutorial, Presentation
Materials from 'Introduction to High Performance Computing for Life Scientists' course
•• intermediateComputational biology HPC GPU parallel computing -
lessons
Visualisation with RStudio
• beginnerData visualisation Data Visualization R RStudio ggplot2 -
lessons
Data Visualisation
• beginnerData visualisation Data Visualization -
course materials, Online material, Training materials
Cloud-SPAN Genomics
• beginnerBioinformatics Software engineering Genomics DNA polymorphism Workflows Data architecture, analysis and design Shell Command line Cloud computing HPC Data analysis High performance computing -
e-learning
neXtProt : Exploring human proteins
• beginnerProteins Proteomics Proteins (proteins) human -
course materials, online course, Training materials
Cloud-SPAN Prenomics
• beginnerBioinformatics Software engineering Genomics Query and retrieval Data handling Cloud computing Shell Command line Amazon Web Services genomics HPC Data analysis bioinformatics -
Tutorial
Tutorial on working with computing clusters
•• intermediateHPC -
Slides
Data Management Planning workshop for new Life Science Projects
• beginnerData management Deposition Data handling Data retrieval data management plan NeLS TSD metadata sensitive data publication data protection storage identifiers DMP licensing Compliance data life cycle - collect data life cycle - reuse data life cycle - analyse data life cycle - process data life cycle - preserve data life cycle - share data life cycle - plan