Training materials
Difficulty level: Intermediate
and Authors: Anton Nekrutenko or Bartosz Bartmanski or Jessica Kirkpatrick krkptrc2@illinois.edu or Radhika Khetani @radhika or UC Davis Bioinformatics Core Training Page 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 'Using dataset collections' tutorial
•• intermediategalaxy-interface collections -
slides
Deeper look into Genome Assembly algorithms
•• intermediateSequence assembly Assembly -
Tutorial
Tutorial on CARNIVAL
•• intermediateMolecular interactions, pathways and networks Gene expression Omics RNA-Seq Network analysis RNA-Seq analysis HPC Signaling RNAseq, transcriptomics -
Tutorial
Tutorial on CellNOpt
•• intermediatePersonalised medicine Simulation experiment Molecular interactions, pathways and networks Transcription factors and regulatory sites Modelling and simulation HPC Biomodelling Signalling