Training materials
Target audience: Any student, postdoc or RA who has an interest ... or Computational biologists or PhD Students or data stewards
and Resource type: Training materials or course materials
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E-Learning, Training materials
Biology meets Programming - Introduction to Bioinformatics using Python
• beginnerBioinformatics Biology Python Python biologists Programming Data Analysis Sequence Analysis -
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 -
Webinar, Training materials
An introduction to MobiDB
• beginnerintrinsically disordered proteins Databases intrinsic disorder prediction protein sequence -
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 -
Webinar, Training materials
Exploring structural and functional annotations of IDPs with DisProt
•• intermediateCuration Databases Ontologies Intrinsically disordered proteins Protein sequence analysis Protein function analysis -
Webinar, Training materials
An introduction to DisProt
• beginnerCuration Databases Ontologies Intrinsically disordered proteins Protein sequence analysis Protein function analysis -
course materials
Introduction to Persistent Identifiers
•• intermediateData management system relevant metadata for data PID metadata Python API pyhandle Persistent Identifiers -
Slides, Training materials
FAIR Data Stewardship - Data sharing, archiving and publishing
• beginnerData Life Cycle FAIR data management data stewardship data repositories data sharing data publication -
course materials, Training materials, Slides
Galaxy Proteomics workshop Prague 2018
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course materials, Training materials, Slides
Implementation of Data Management Plans & Data Stewardship in practice