Training materials
Difficulty level: Intermediate
and Keywords: Cloud computing or Proteomics or Single Cell technologies or biostatistics or microbiome
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Statistics and Machine Learning for Life Sciences
•• intermediatetraining biostatistics data mining machine learning torsten schwede & thierry sengstag group -
Introduction to Bayesian Statistics with R
•• intermediatebiostatistics training -
Applied Statistics: Data Analysis in Practice
•• intermediatebiostatistics data visualisation training mauro delorenzi & frédéric schütz group -
hands-on tutorial
Hands-on for 'metaQuantome 3: Taxonomy' tutorial
•• intermediateproteomics microbiome -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'metaQuantome 2: Function' tutorial
•• intermediateproteomics microbiome -
hands-on tutorial
Hands-on for 'metaQuantome 1: Data creation' tutorial
•• intermediateproteomics microbiome -
hands-on tutorial
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics -
Video
Data Gravity in the Life Sciences: Lessons learned from the HCA and other federated data projects
•• intermediateData architecture, analysis and design Cloud computing Data analysis Standards Translational research -
Documentation, Exercise, Handout, Scripts
IBIP19 - Integrative Biological Interpretation using Proteomics (2019)
•• intermediateProteomics
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