equity-scorerCompute HEIM diversity and equity metrics from VCF or ancestry data. Generates heterozygosity, FST, PCA plots, and a composite HEIM Equity Score with markdow...
Install via ClawdBot CLI:
clawdbot install manuelcorpas/equity-scorerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/ClawBio/ClawBioAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
A pharmaceutical company uses the Equity Scorer to evaluate the population diversity of genomic data from a clinical trial cohort. By computing the HEIM Equity Score and generating PCA plots, they identify underrepresentation of African and American populations, enabling them to adjust recruitment strategies to improve generalizability of drug efficacy findings across global populations.
A biobank administrator applies the skill to analyze VCF files from stored samples, generating markdown reports with heterozygosity and FST metrics. This helps monitor data quality, ensure diverse representation, and provide standardized equity scores for researchers accessing the biobank, enhancing transparency in genomic studies.
Researchers at a university use the Equity Scorer to process ancestry CSV data from a global health study. They compute the HEIM Equity Score and generate ancestry distribution visualizations to assess geographic spread, supporting publications with quantifiable diversity metrics and recommendations for inclusive sampling in future projects.
A public health agency employs the skill to analyze genomic datasets from national health surveys, calculating FST coverage and representation indices. The results inform policy decisions on funding allocations and community outreach programs aimed at reducing health disparities and improving equity in genomic research initiatives.
A direct-to-consumer genetic testing company integrates the Equity Scorer to evaluate the diversity of their reference panel using VCF files. By generating PCA plots and HEIM scores, they identify gaps in population representation, guiding updates to their ancestry estimation algorithms for more accurate and inclusive customer reports.
Offer the Equity Scorer as a cloud-based platform where users upload VCF or CSV files via a web interface to receive automated diversity reports. Charge a monthly or per-analysis fee, targeting biotech firms and research institutions needing regular equity assessments without local installation.
Provide bespoke consulting services using the skill to analyze client-specific genomic datasets, with experts interpreting HEIM scores and generating tailored reports. This model appeals to pharmaceutical companies and healthcare organizations requiring in-depth equity insights and strategic recommendations for diversity initiatives.
License the Equity Scorer as a modular component for integration into existing bioinformatics platforms or research tools, such as genomic data management systems. Charge licensing fees based on usage scale, enabling partners to enhance their offerings with built-in diversity metrics and visualization capabilities.
💬 Integration Tip
Ensure Python dependencies like biopython and scikit-learn are pre-installed in the environment, and provide clear documentation for input file formats (VCF or CSV) to streamline data preprocessing and avoid common parsing errors.
Scored Apr 19, 2026
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