Training materials
Difficulty level: Intermediate
and Scientific topics: Biomathematics or Data management or Image or Imaging or Metabolites or Personalised medicine or Sample collections
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
Tutorial
Tutorial on using existing PerMedCoE Building Blocks and workflows
•• intermediateBioinformatics Workflows Personalised medicine Building blocks -
Tutorial, Presentation
Materials from 'Introduction to High Performance Computing for Life Scientists' course
•• intermediateComputational biology HPC GPU parallel computing -
Video, E-Learning
SPHN Dataset Template: Build an RDF schema from an Excel file
•• intermediateComputer science Data management FAIR data Medical informatics Semantic artifacts generation Automation Clinical data Semantic Framework FAIR RDF RDF graph generation Dataset template -
hands-on tutorial
Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)
•• intermediateMetabolomics -
e-learning
High Performance Computing in Life Sciences
•• intermediateComputational biology High performance computing Data storage -
Series of videos
Query Expansion services - tutorial
•• intermediateData management Data Query data Query expansion -
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
Analyse HeLa fluorescence siRNA screen
•• intermediateImaging HeLa -
hands-on tutorial
Mass spectrometry: LC-MS preprocessing with XCMS
•• intermediateMetabolomics