Skip to main content

iKISS is a pipeline to detect kmers under selection.

Project description

docs/source/_static/logo_ikiss.png

PythonVersions SnakemakeVersions Singularity

iKISS (Kmer Inference Selection and Structure) is a snakemake reference-Free pipeline for inferring diversity, structuration, selection and genotype-phenotype association.

iKISS uses KmersGWAS, PCADAPT and LFMM to select genomics regions under selection.

Documentation

Online documentation is on ReadTheDocs.

Authors

docs/source/_static/ird_small.png
  • Julie Orjuela (UMR DIADE - IRD)

  • Yves Vigouroux (UMR DIADE - IRD)

Licence

Licensed under GNU GENERAL PUBLIC LICENSE V3.

Intellectual property belongs to IRD and authors.

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

ikiss-2.0.0.tar.gz (3.8 MB view details)

Uploaded Source

Built Distribution

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

ikiss-2.0.0-py3-none-any.whl (3.5 MB view details)

Uploaded Python 3

File details

Details for the file ikiss-2.0.0.tar.gz.

File metadata

  • Download URL: ikiss-2.0.0.tar.gz
  • Upload date:
  • Size: 3.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for ikiss-2.0.0.tar.gz
Algorithm Hash digest
SHA256 b823454a607440fbaa280044ea7e5872e5cdba9c026940e3d163539041f98220
MD5 a31f8caca8ef5d3bd4fec362cb487a27
BLAKE2b-256 cc5ecb8f84766a4779623fed78b4c5ad9fd03c6eba00623433b07198d7405532

See more details on using hashes here.

File details

Details for the file ikiss-2.0.0-py3-none-any.whl.

File metadata

  • Download URL: ikiss-2.0.0-py3-none-any.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for ikiss-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 09a8c9318ef6eac31b6be8aa1814b2d07d93f66451222b39eabcdcff481a8345
MD5 5c1369e3f6284f0ca4f55572ef3262b5
BLAKE2b-256 5b2f035aaad9ceb001c96abd2948d833522135d6b92807f55f31d3927494aab7

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