Skip to main content

AlphaFold based Functional Impact Prediction of Missense Variations

Project description

AFFIPred: AlphaFold based Functional Impact Prediction of Missense Variations

Usage:

First, install the tool using pip.

pip install -i https://test.pypi.org/simple/ affipred

Provide input and output files relative or absolute path:

affipred_pred variants.vcf -o affipred_results.csv

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

affipred-0.1.1.tar.gz (4.0 kB view details)

Uploaded Source

File details

Details for the file affipred-0.1.1.tar.gz.

File metadata

  • Download URL: affipred-0.1.1.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for affipred-0.1.1.tar.gz
Algorithm Hash digest
SHA256 f41e2d8194319d21a24489b679764fc481976e71fa9fafcbe5bc304087e9dd6b
MD5 48f37d2b0dc7e48092eebe5512b833d1
BLAKE2b-256 45fcc40236d728bbf1a11ef137c98df8e1f00a74874eaa8dc00ed8506a1ea11f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page