Training materials
Difficulty level: Intermediate
and Authors: Jan Slifka or Nicola Soranzo or Simon Bray or Wandrille Duchemin
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Data Analysis and Representation in Python
•• intermediateprogramming,data analysis,training,data visualisation,torsten schwede & thierry sengstag group,mark ibberson group programming,training,torsten schwede & thierry sengstag group,mark ibberson group -
e-learning
Explore and Visualize Your Data with Python
•• intermediateData visualisation Bioinformatics Python Data analysis -
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 -
hands-on tutorial
Hands-on for 'Protein-ligand docking' tutorial
•• intermediateComputational chemistry computational-chemistry -
hands-on tutorial
Hands-on for 'Protein target prediction of a bioactive ligand with Align-it and ePharmaLib' tutorial
•• intermediateComputational chemistry computational-chemistry -
hands-on tutorial
Hands-on for 'Running molecular dynamics simulations using GROMACS' tutorial
•• intermediateComputational chemistry computational-chemistry -
hands-on tutorial
Hands-on for 'Virtual screening of the SARS-CoV-2 main protease with rxDock and pose scoring' tutorial
•• intermediateComputational chemistry computational-chemistry covid19 one-health -
hands-on tutorial
Hands-on for 'Analysis of molecular dynamics simulations' tutorial
•• intermediateComputational chemistry computational-chemistry -
hands-on tutorial
Hands-on for 'Running molecular dynamics simulations using NAMD' tutorial
•• intermediateComputational chemistry computational-chemistry
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