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PlantOmicsGwas

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 11 Jul 2026. How this is checked

PlantOmicsGwas is an open-source toolkit for plant genomics, providing integrated workflows for genome-wide association studies (GWAS), genomic prediction, and variant calling. It supports both command-line and API usage, is optimized for high-performance computing environments, and is designed for researchers working in plant breeding and genomics.

Inferred · not functionally tested

Open SourceMITCLIAPISelf-hosted
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Overview

6 features

Purpose: Enables plant genomics researchers to perform GWAS, genomic prediction, and variant calling efficiently using an integrated pipeline.

Inferred · not functionally tested

Audience: plant genomics researchers

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

PlantOmicsGwas sits in PulseGate's Other data science & ML category. Inferred · not functionally tested: It enables plant genomics researchers to perform GWAS, genomic prediction, and variant calling efficiently using an integrated pipeline. Inferred · not functionally tested: It is built as an open-source project for plant genomics researchers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: PlantOmicsGwas is available on the command line and API, and it can be self-hosted.

Behind PlantOmicsGwas is AHMEDY3DGENOME, and it first shipped in 2025. The project is developed in the open on GitHub with 42 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include GWAS analysis, genomic prediction, and variant calling.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • GWAS analysis
  • Genomic prediction
  • Variant calling
  • CLI interface
  • API access
  • HPC support

Topics: Inferred · not functionally tested

Tags
gwasgenomic-predictionbioinformatics-pipelineplant-breedinghpc
AI capabilities
Structured
Weights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLIAPI-onlySelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed11 Jul · 01:06 UTC
    PlantOmicsGwas seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about PlantOmicsGwas

What does PlantOmicsGwas do?
Inferred · not functionally tested: PlantOmicsGwas enables plant genomics researchers to perform GWAS, genomic prediction, and variant calling efficiently using an integrated pipeline. It is catalogued under Other data science & ML on PulseGate.
Who is PlantOmicsGwas for?
Inferred · not functionally tested: PlantOmicsGwas is an open-source project built for plant genomics researchers.
Is PlantOmicsGwas free?
Basis unknown · not verified: Yes — PlantOmicsGwas is open source under the MIT license and free to use.
What platforms does PlantOmicsGwas run on?
Basis unknown · not verified: PlantOmicsGwas runs on the command line and API. It can also be self-hosted.
Is PlantOmicsGwas still active?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 42 commits in the last 90 days.
Who makes PlantOmicsGwas?
PlantOmicsGwas is developed by AHMEDY3DGENOME.
How long has PlantOmicsGwas been around?
PlantOmicsGwas first shipped in 2025.
Is PlantOmicsGwas open source?
Basis unknown · not verified: Yes — PlantOmicsGwas is open source under the MIT license, developed on GitHub.

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