EARLY-STAGE BIOINFORMATICS COMPANY
Kmeggie+SEQUENCING, SIMPLIFIED

RESEARCH & EVIDENCE

Build the evidence before making the claim.

This page records what Kmeggie+ has demonstrated, what remains untested, and how we intend to evaluate the product.

At least 224

bioinformaticians are estimated to be immediately needed across African public-health genomics facilities.

The estimate appears in a 2025 Nature Medicine article by Africa CDC and University of Cape Town researchers. It describes a continent-wide workforce need; it is not a Kmeggie+ impact result.

Read the source article ↗

EVIDENCE LEDGER

What we can say today.

DEMONSTRATED

Functional FASTQ validation prototype

Current prototypes parse supported FASTQ files, report read count, total bases, and read length, and reject structural errors.

DEMONSTRATED

Browser QC analysis

The live demo calculates quality, composition, length, N-content, and duplicate summaries on the user’s device.

EARLY FEEDBACK

Positive technician reception

The concept has been presented to laboratory professionals. Structured in-person research and a first signed pilot remain pending.

NOT YET PUBLISHED

Comparative validation

Kmeggie+ has not published benchmark results against FastQC, MultiQC, or validated diagnostic workflows.

VALIDATION AGENDA

The studies we need to run.

  1. 01

    Correctness

    Compare core metrics and error detection against hand-checked fixtures and established tools.

  2. 02

    Performance

    Measure runtime, memory use, file limits, and failure behaviour on representative laboratory hardware.

  3. 03

    Usability

    Observe laboratory technicians completing real review tasks and document where explanations or workflows fail.

  4. 04

    Deployment fit

    Evaluate offline use, updates, support, provenance, and reporting within institutional laboratory processes.

CURRENT TECHNICAL NOTES

Open methods, visible limits.

Prototype methods and thresholdsRead →Supported input and processing limitsRead →Why validation comes before interpretationRead →

RESEARCH COLLABORATION

Have a dataset or laboratory workflow we should learn from?

We are interested in structured product research and transparent pilot evaluation.

Prepare a research inquiry