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A library to manipulate data for our DMS prediction models.

Project description

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Download your RNA data from HuggingFace with rouskinhf!

A wrapper around Huggingface the load data for eFold. You can:

  • pull datasets from the Rouskinlab's HuggingFace
  • create datasets from local files


To download data

pip install rouskinhf

To push data to huggingface (optional)

  • get a token access from the rouskilab huggingface's page
  • add this token to your environment
export HUGGINGFACE_TOKEN="hf_yourtokenhere"

To predict structures from rouskinhf (optional)

You'll need to install D. Mathew's RNAstructure Fold (also available on Rouskinlab GitHub).

Check your RNAstructure Fold installation in a terminal:

Fold --version

How to use

Download a dataset

import rouskinhf

    name='bpRNA-1m', # the name of a dataset from huggingface/rouskinlab
    force_download = False # use a local copy of the data if it exists

Convert whatever format to rouskinhf format

import rouskinhf

    format = 'ct', # can be ct, seismic, bpseq, fasta or json (rouskinhf output data structure)
    file_or_folder = 'path/to/my/ct/folder',
    predict_structure = False, # Add structure from RNAstructure
    filter = True, # removes duplicates, non-regular characters and low AUROC

Note: Sequences with bases different than A, C, G, T, U, N, a, c, g, t, u, n are not supported. The data will be filtered out.

Rouskinhf structure format

# rouskinhf_output_file.json
    "reference_name": {
        "sequence": "CACGCUAUG",
        "structure": [(0,8), (1,7)], # base pair representation
        # whatever other info you need

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