Training materials
Difficulty level: Intermediate
and Scientific topics: Data integration and warehousing or Functional genomics or Functional, regulatory and non-coding RNA or Natural language processing or Proteomics or Statistics and probability
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hands-on tutorial
Supervised Learning with Hyperdimensional Computing
•• intermediateStatistics and probability Statistics and machine learning -
slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
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 -
hands-on tutorial
Hands-on for 'Introduction to Machine Learning using R' tutorial
•• intermediatestatistics interactive-tools -
hands-on tutorial
Hands-on for 'metaQuantome 3: Taxonomy' tutorial
•• intermediateproteomics microbiome -
hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateproteomics human -
hands-on tutorial
Hands-on for 'Proteogenomics 1: Database Creation' tutorial
•• intermediateproteomics proteogenomics -
hands-on tutorial
Hands-on for 'Proteogenomics 2: Database Search' tutorial
•• intermediateproteomics proteogenomics -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'metaQuantome 2: Function' tutorial
•• intermediateproteomics microbiome