Skip to main content

Integrated GWAS and genomic prediction pipeline with a GUI for plant genomics.

Project description

PlantOmicsGwas: An Integrated GWAS and Genomic Prediction Pipeline for Plant Genomes

Developers & Contributors

Developer Expertise
Ahmed Yassin Computational Biologist
Falak Sher Khan Computational Biologist
PlantOmicsGwas Software (Affiliation) Ye-Lab (PKU-IAAS)
PlantOmicsGwas Status Early Demonstration Release (Under Active Development)

Developed By:

  • Ahmed Yassin, Computational Biologist || PhD Candidate
  • Falak Sher Khan, PhD, computational biologist The Peking university of Advanced Agricultural Science (PKU-IAAS), China

⚠️ Early Demonstration Release (v0.1.0)

PlantOmicsGwas v0.1.0 is the first public demonstration release of the software and is intended exclusively for evaluation, testing, and feedback from researchers, collaborators, and the plant genomics community.

The platform is currently under active development. Although the core analytical workflow is functional, we are continuously improving computational performance, large-scale genomic data processing, workflow efficiency, the graphical user interface, and the overall user experience.

Following the publication of our accompanying research manuscript, we will release the complete production version of PlantOmicsGwas, including comprehensive documentation, finalized software licensing, detailed installation guides, tutorials, and the full implementation of all planned analytical modules.

We sincerely appreciate feedback from researchers and early adopters, as it will play an important role in the continued refinement and development of the platform.

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

plantomicsgwas-0.1.2.tar.gz (16.3 MB view details)

Uploaded Source

Built Distribution

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

plantomicsgwas-0.1.2-py3-none-any.whl (16.4 MB view details)

Uploaded Python 3

File details

Details for the file plantomicsgwas-0.1.2.tar.gz.

File metadata

  • Download URL: plantomicsgwas-0.1.2.tar.gz
  • Upload date:
  • Size: 16.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for plantomicsgwas-0.1.2.tar.gz
Algorithm Hash digest
SHA256 943234e4196186848ec7a7aed582cb7583de75485d2fceaa802d9fd21440e49a
MD5 264cd41f642eedec9111d9b0f3f41d3a
BLAKE2b-256 61a665d9db8a08331e906fca904680ac7fc7882044b47f002d1b98a94ad1b472

See more details on using hashes here.

Provenance

The following attestation bundles were made for plantomicsgwas-0.1.2.tar.gz:

Publisher: publish.yml on AHMEDY3DGENOME/PlantOmicsGWAS

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file plantomicsgwas-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: plantomicsgwas-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 16.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for plantomicsgwas-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 68700fa84822c038b4f4d02038feea5fddf9fbbdb6faa9264b4c019187529d0f
MD5 644fe6f6c19bb90ee83b52983fb33504
BLAKE2b-256 ee603f5cdbbb55063a15ef9c1619003c6de88db8f89e3fc5416724c958888092

See more details on using hashes here.

Provenance

The following attestation bundles were made for plantomicsgwas-0.1.2-py3-none-any.whl:

Publisher: publish.yml on AHMEDY3DGENOME/PlantOmicsGWAS

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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