Training materials
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science: November 2024
•• IntermediateBioinformatics Computational biology Machine learning Transcriptomics Bioinformatics Computational Biology Coding Programming Data Science Data Analysis … -
Tutorial
From transcriptomics to mechanistic models of signalling
Gene expression Transcription factors and regulatory sites Signaling networks
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Learning pathway
Linux learning pathways
• BeginnerBioinformatics Linux Programming -
E-Learning, Training materials
Biology meets Programming - Introduction to Bioinformatics using Python
• BeginnerBioinformatics Biology Python Python biologists Programming Bioinformatics Data Analysis Sequence Analysis -
Advanced analysis of quantitative proteomics data using R
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Learn to Discover (L2D): Data Handling and Machine Learning using Python
••• AdvancedMachine learning Artificial Intelligence data science Python Programming Bioinformatics Biomedical data -
podcast
LIPID MAPS Podcasts
Lipidomics lipidmaps lipid maps lipids lipidomics
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Recorded webinar
LIPID MAPS Webinar Series
Lipidomics lipids lipidomics lipidmaps lipid maps
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Tutorial
LIPID MAPS Tutorials
Lipidomics lipids lipidomics lipidmaps lipid maps
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Course materials
LIPID MAPS Spring School 2021
Lipidomics lipids lipidomics lipid maps lipidmaps