Skip to main content

Various genomics tools and scripts used in the GHFC lab

Project description

ghfc-utils

set of small tools designed to help automatize simple task locally or on Pasteur's cluster.

  • slivar-reannotate for the postprocessing of slivar files including filtering and geneset reannotation.
  • slivar-dnm for the computation of a prediction score about the veracity of de novo mutations

Installation

pip install ghfc-utils

PS. on maestro, do not forget to load Python first (not needed anymore once installed):

module load Python/3.9.16

Installation using uv

TODO

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ghfc_utils-0.1.0-py3-none-any.whl (32.2 kB view details)

Uploaded Python 3

File details

Details for the file ghfc_utils-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: ghfc_utils-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 32.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.7

File hashes

Hashes for ghfc_utils-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 49f26639ced17dfc621631e4f27c5e9c4d22442e9567bbe206f2b55316608eb5
MD5 356788d0e674b01c596effe061d52fb0
BLAKE2b-256 122ff4cc43296bc2aa883ae3c582c38e358cbab243131430bc2776657c94a222

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