About
Goodomics is an early-stage project for cohort-aware QC reporting in bioinformatics workflows.
Built by Charlie Murphy, PhD
I have 10 years of experience in cancer genomics and software development. Goodomics comes from seeing the data analysis, pipeline results, and review context disappear into notebooks, folders, and one-off reports.
The idea is simple: start with a folder of pipeline outputs, generate a useful report, and add durable cohort context when your team needs history. Goodomics is meant to complement tools like MultiQC, Nextflow, Snakemake, Seqera, Latch, and internal HPC or cloud workflows.
The product thesis is that QC reports should preserve the context behind a decision: the cohort, report template, thresholds, pipeline version, and run metadata used at review time.
Goodomics is intended to stay free and open source. Paid hosting with extra functionality may make sense for teams that want operated infrastructure, collaboration features, and less setup, but the source project remains the foundation for bioinformatics engineers, sequencing core staff, assay development teams, translational researchers, and computational biologists who review messy pipeline outputs today.