Training materials
Difficulty level: Intermediate
and Contributors: Bang Wong or Björn Grüning or Carina Silva or Celia van Gelder or Dr. Simon Andrews or Eija Korpelainen or Fotis E. Psomopoulos or Jalview Coordinator or Jamie Edwards or Jyoti Khadake or Manimozhiyan Arumugam or Marek Vrbacky or posit-conf-2023
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hands-on tutorial
Hands-on for 'Introduction to Machine Learning using R' tutorial
•• intermediatestatistics interactive-tools -
hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateproteomics human -
hands-on tutorial
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Plotting in Python' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced R in Galaxy' tutorial
•• intermediatedata-science R -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediatedata-science jupyter-notebook -
Documentation, Exercise, Handout, Scripts
ABSTAT18 - Advanced Biostatistics for Bioinformatics Tool Users using R (2018)
•• intermediateStatistics and probability -
course materials
Single-cell RNA-seq data analysis with R 2022
•• intermediateRNA-Seq RNA-Seq Single Cell technologies scRNA-seq -
Text-mining exercises
•• intermediateMicrobial ecology Metagenomics Natural language processing Data mining