{"library":"crested","type":"library","category":null,"description":"CREsted (Cis-Regulatory Element Sequence Training, Explanation, and Design) is a Python library for deep learning on regulatory genomics. It provides tools for training, interpreting, and designing genomic models, with support for popular architectures like Borzoi and DilatedCNN. Current version is 1.8.1, released on 2026-03-19. Requires Python 3.11 - 3.13. Released under MIT license.","language":"python","status":"active","version":"1.8.1","tags":["genomics","deep learning","regulatory genomics","sequence models","borzoi","chrombpnet","dilated cnn"],"last_verified":"Fri May 01","install":[{"cmd":"pip install crested","imports":["import crested","import crested.tl","import crested.pp","import crested.pl","from crested import Genome"]}],"homepage":null,"github":"https://github.com/aertslab/crested","docs":"https://crested.readthedocs.io/","changelog":null,"pypi":"https://pypi.org/project/crested/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}