Skip to content
Branch: master
Find file History
Latest commit f9f8d9c Apr 1, 2019
Permalink
Type Name Latest commit message Commit time
..
Failed to load latest commit information.
analyzing_mutations_with_trained_models update the visualization based tutorials Dec 11, 2018
getting_started_with_selene
quickstart_training update configs and documentation Dec 10, 2018
regression_mpra_example
variants_and_visualizations update the visualization based tutorials Dec 11, 2018
README.md

README.md

Tutorials

This directory contains all of the tutorials for selene.

The most thorough tutorial for getting started is in getting_started_with_selene. To get started on training a model very quickly, please see quickstart_training.

Additionally, we have two tutorials that show how to apply trained models. Selene provides methods to run variant effect prediction and in silico mutagenesis, along with some visualization methods that we recommend running based on our Jupyter notebook tutorials.

  • Comprehensive in silico mutagenesis tutorial: analyzing_mutations_with_trained_models
  • Tutorial with both the config file method and the non-config file method of running Selene. Also shows how to run variant effect prediction and visualize the difference scores. Contains an in silico mutagenesis example with known regulatory mutations: variants_and_visualizations

We also have a tutorial demonstrating Selene's use to predict mean ribosomal load based on 5' UTR sequences: regression_mpra_example. This is a good follow-up tutorial to the Getting Started tutorial if you are interested in training a regression model using Selene. It also shows how to run Selene with another model architecture.

Additional note

The log statements printed in the training tutorials are from running the tutorials on a CUDA-enabled machine. Run times will be far longer (as described in the repository README) if you are running them only on CPU.

Contributing tutorials

The process for adding a tutorial to selene is as follows:

  1. Create a subdirectory in the tutorials directory. The name of this subdirectory should be the name of the tutorial, formatted in snake-case.
  2. Write the tutorial in an ipython notebook in the subdirectory.
  3. Store all data for the tutorial in the subdirectory, and create a gzipped archive (i.e. a *.tar.gz file) with all the data required for the tutorial.
  4. Create a *.nblink link file in the docs/source/tutorials directory. This file will serve as a link to the tutorial's notebook file. Instructions for formatting this file can be found here.
  5. Add an entry for the tutorial to the list of tutorials in docs/source/tutorials/index.rst.
  6. Rerun make html from the docs directory.
You can’t perform that action at this time.