Training materials
Keywords: Data managment plan or Programming or plants or proteomics
and Resource type: Transcriptomics or hands-on tutorial
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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 -
hands-on tutorial
Gentle Introduction to Python
• beginnerPython script Software engineering Programming Python -
hands-on tutorial
Hands-on for 'Chloroplast genome assembly' tutorial
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hands-on tutorial
Hands-on for 'Whole transcriptome analysis of Arabidopsis thaliana' tutorial
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hands-on tutorial
Hands-on for 'Analysis of plant scRNA-Seq Data with Scanpy' tutorial
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hands-on tutorial
Hands-on for 'Biomarker candidate identification' tutorial
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hands-on tutorial
Hands-on for 'metaQuantome 3: Taxonomy' tutorial
•• intermediateproteomics microbiome -
hands-on tutorial
Hands-on for 'Annotating a protein list identified by LC-MS/MS experiments' tutorial
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hands-on tutorial
Hands-on for 'MaxQuant and MSstats for the analysis of TMT data' tutorial
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hands-on tutorial
Hands-on for 'Label-free versus Labelled - How to Choose Your Quantitation Method' tutorial
• beginnerproteomics DDA