Welcome to SECOMO’s documentation!

Contents:

• Introduction to SECOMO: A SEquence COntext MOdeler
  • References
• System setup
  • Requirements
  • Installation
• Tutorial
  • Loading sample dataset
  • Train SECOMO’s convolutional RBM model
  • Position frequency matrices
  • Motif matches
  • Clustering analysis
  • Motif enrichment across different sets of sequences
  • Summary of the full analysis
• Convolutional restricted Boltzmann machine (cRBM)
• Sequence-related utilies
• Utils
• Sample dataset
• Acknowledgements

Indices and tables

• Index
• Module Index
• Search Page