Skip to main content

Genomics agent for Lobster AI (VCF, PLINK, GWAS, variant annotation)

Project description

lobster-genomics

Genomics analysis for VCF and PLINK data with GWAS, QC, and variant annotation capabilities.

Installation

pip install lobster-genomics

Agents

Agent Description
genomics_expert Full genomics workflow orchestration including data loading, quality control, GWAS analysis, and variant annotation.

Services

Service Purpose
GWASService Genome-wide association study analysis with linear/logistic regression
VariantAnnotationService Variant functional annotation via Ensembl VEP integration
GenomicsQualityService Comprehensive QC including call rate, MAF, HWE, and heterozygosity

Features

  • Load VCF files (whole genome sequencing) and PLINK files (SNP arrays)
  • Comprehensive quality control with configurable thresholds
  • Call rate filtering at both sample and variant level
  • Minor allele frequency (MAF) filtering for rare variant removal
  • Hardy-Weinberg equilibrium testing for genotyping errors
  • Heterozygosity outlier detection for sample quality assessment
  • Linear and logistic regression GWAS with covariate support
  • Lambda GC calculation for population stratification assessment
  • Principal component analysis (PCA) for ancestry detection
  • Variant functional annotation via Ensembl VEP API
  • Manhattan plots and QQ plots for GWAS visualization
  • PCA scatter plots colored by phenotype or ancestry

Requirements

  • Python 3.12+
  • lobster-ai >= 1.0.0
  • cyvcf2 (VCF parsing)
  • bed-reader (PLINK file support)
  • sgkit (GWAS and PCA analysis)

Tier Requirement

This is a premium agent. Access is controlled at runtime via Lobster AI's tier system.

Documentation

Full documentation: docs.omics-os.com/docs/agents/genomics

License

MIT

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

lobster_genomics-1.0.1.tar.gz (49.0 kB view details)

Uploaded Source

Built Distribution

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

lobster_genomics-1.0.1-py3-none-any.whl (51.5 kB view details)

Uploaded Python 3

File details

Details for the file lobster_genomics-1.0.1.tar.gz.

File metadata

  • Download URL: lobster_genomics-1.0.1.tar.gz
  • Upload date:
  • Size: 49.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for lobster_genomics-1.0.1.tar.gz
Algorithm Hash digest
SHA256 e325e0f173d794210ec8a620b3679ad1303ae2f4562146a003bf79cb53a7b8e5
MD5 3b7a6c2ef01cf1f29fe4ef41366d53a6
BLAKE2b-256 7cda1f5dc0ea25454e008b10bad0b48d63ae2ab07dfbe9b91541e424423a81b3

See more details on using hashes here.

Provenance

The following attestation bundles were made for lobster_genomics-1.0.1.tar.gz:

Publisher: publish-packages.yml on the-omics-os/lobster

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

File details

Details for the file lobster_genomics-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for lobster_genomics-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bf1ec9e9af35d9b0833d2a12a5732dc79b61854cbd4c96508b1ff9f1bce50de1
MD5 6ed2ff58337e3046608be090ba6fb420
BLAKE2b-256 c212ca8940bc42e2d909bfb5f33373a79fd443aaec3c28352f55bd2ce6543686

See more details on using hashes here.

Provenance

The following attestation bundles were made for lobster_genomics-1.0.1-py3-none-any.whl:

Publisher: publish-packages.yml on the-omics-os/lobster

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