Training materials
Difficulty level: Intermediate
and Scientific topics: Biology or Bottom-up proteomics or Data structures or Mass spectrometry or Metatranscriptomics or Natural language processing or Structural biology or Transcription factors and regulatory sites
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Learning pathway
Version control with Git
•• intermediateSoftware engineering Open science Version control -
slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
hands-on tutorial
Python - Coding Style
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Virtual Environments For Software Development
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Conda Environments For Software Development
•• intermediateSoftware engineering Foundations of Data Science conda jupyter-notebook -
hands-on tutorial
Python - Type annotations
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Testing
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
Poster
3DBionotes COVID-19 Structural Hub: A Central Resource for Validation Information and Refined Models
•• intermediateStructural biology Data visualisation Data integration and warehousing Data mining covid-19 Protein models electron microscopy data annotation Web Services (5596) Quality Validation Cryo-Electron Microscopy -
Slides, course materials, hands-on tutorial
Organisation and utilisation of hologenomic datasets – course notes
•• intermediateMetatranscriptomics Sample collections Metabolomics Metagenomics hologenomics metagenomics MGnify Workshop -
hands-on tutorial
metaQuantome 3: Taxonomy
•• intermediateProteomics Proteogenomics Metatranscriptomics Microbial ecology Metagenomics Taxonomy microgalaxy