Training materials
Scientific topics: Computer science or Data submission, annotation, and curation or Literature and language or Natural language processing or Software engineering or Structure analysis or Transcriptomics
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lessons
R basics
• beginnerInformatics Computer science R RStudio ggplot2 Rmarkdown Quarto dplyr data visualisation -
hands-on tutorial
Learning about one gene across biological resources and formats
• beginnerSoftware engineering Foundations of Data Science -
hands-on tutorial
One protein along the UniProt page
• beginnerSoftware engineering Foundations of Data Science -
hands-on tutorial
Adding and updating best practice metadata for Galaxy tools using the bio.tools registry
• beginnerSoftware engineering Development in Galaxy -
Tutorial
NUTRIOME Workshop Tutorials
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Slides
Navigating Licensing in Bioinformatics: Software and Data Perspectives
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lynnlangit/gcp-for-bioinformatics
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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 -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
ucdavis-bioinformatics-training/2021-August-Iso-Seq