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
Installation
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
rouskinhf.get_dataset(
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
rouskinhf.convert(
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
min_AUROC=0.8,
)
Note: Sequences with bases different than
A,C,G,T,U,N,a,c,g,t,u,nare 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
}
}
Metadata
Release files for rouskinhf 0.4.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| rouskinhf-0.4.8.tar.gz | 17.3 kB | Without provenance | Details for rouskinhf-0.4.8.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| rouskinhf-0.4.8-py3-none-any.whl | Python 3 | none | any | Details for rouskinhf-0.4.8-py3-none-any.whl |
Total release size: 36.6 kB
Release files / rouskinhf-0.4.8.tar.gz
| Download URL | rouskinhf-0.4.8.tar.gz |
|---|---|
| Size | 17.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
61eaf0316e28fa4e8ba82f94d6bbd14a63e174b604f5980f6a27bdab2fd5e436
|
|
BLAKE2b-256 checksum How to use checksums |
ed44cadd00eb40814ee959875deda43a36c11cbe91f5b76e4e83bd2fa6733d4d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|
Release files / rouskinhf-0.4.8-py3-none-any.whl
| Download URL | rouskinhf-0.4.8-py3-none-any.whl |
|---|---|
| Size | 19.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
04576cb878ca6c049c22258083381d34a46eb7a583aeaefe0454cd3460a4c3ad
|
|
BLAKE2b-256 checksum How to use checksums |
2e7f68789fba2f5fea1ef590f004f48be92ec856758b73241c92735eaaf2ddb9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|
Security for rouskinhf 0.4.8
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.