Training materials
Difficulty level: Intermediate
and Target audience: Beginners or Ontologists or Researcher in life sciences or Students or beginner bioinformaticians or postdocs
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hands-on tutorial
Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)
•• intermediateMetabolomics -
hands-on tutorial
Supervised Learning with Hyperdimensional Computing
•• intermediateStatistics and probability Statistics and machine learning -
hands-on tutorial
Hands-on for 'Avian influenza viral strain analysis from gene segment sequencing data' tutorial
•• intermediatevariant-analysis virology -
hands-on tutorial
Hands-on for 'Python - Coding Style' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Virtual Environments For Software Development' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Type annotations' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Conda Environments For Software Development' tutorial
•• intermediatedata-science conda jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Testing' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Long non-coding RNAs (lncRNAs) annotation with FEELnc' tutorial
•• intermediategenome-annotation eukaryote -
hands-on tutorial
Hands-on for 'Genome Assembly Quality Control' tutorial
•• intermediateassembly quality control