{"library":"alphagenome","type":"library","category":null,"description":"A Python SDK developed by Google DeepMind for interacting with and visualizing genomic models. Currently at version 0.6.1, it supports interval scoring, in-silico mutagenesis, variant normalization, and sequence logo plotting. Requires Python >=3.10 and has a rapid release cadence (minor versions every few weeks).","language":"python","status":"active","version":"0.6.1","tags":["genomics","deepmind","bioinformatics","DNA","machine-learning","SDK"],"last_verified":"Sat May 09","install":[{"cmd":"pip install alphagenome","imports":["from alphagenome import AlphaGenome","from alphagenome import Interval","from alphagenome import Variant"]}],"homepage":null,"github":"https://github.com/google-deepmind/alphagenome","docs":"https://www.alphagenomedocs.com/","changelog":null,"pypi":"https://pypi.org/project/alphagenome/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}