Local-first bioinformatics tools for DTC DNA conversion, VCF/gVCF processing, genetic variant annotation, and research-grade desktop workflows.
biotec-line builds practical Python desktop software for working with sensitive genetic files on the user's own machine. The current projects focus on converting direct-to-consumer DNA exports into VCF 4.2, validating genome builds, annotating VCF/gVCF data, filtering variants, and exporting research-oriented results without turning genetic data into a cloud workflow.
| Need | Start with | Why |
|---|---|---|
| Convert 23andMe, MyHeritage, FTDNA, or similar raw DNA exports to VCF 4.2 | genotype-to-vcf | PySide6 desktop converter with GRCh37/GRCh38 detection, dbSNP/FASTA reference lookup, local cache, and privacy-focused VCF output |
| Annotate, filter, inspect, and export VCF/gVCF or 23andMe-derived variant files | VFDistiller | Windows-first variant analysis GUI with gnomAD, MyVariant.info, VEP, ALFA, TOPMed, ClinVar-oriented fields, FASTA validation, and CSV/Excel/PDF/VCF export |
| Project | Description |
|---|---|
| genotype-to-vcf | Converts four-column DTC DNA raw data into VCF 4.2 with automatic build detection, sex-aware ploidy handling, dbSNP integration, optional offline FASTA lookup, and local-only file handling |
| Project | Description |
|---|---|
| VFDistiller | Local-first desktop app for VCF, gVCF, 23andMe raw text, and FASTA workflows, including annotation, filtering, allele-frequency lookup, reference validation, and research exports |
These tools are built for bioinformatics research, teaching, software development, and reproducible local workflows. They are not medical devices, not in-vitro diagnostic products, not clinically validated, and not intended for diagnosis, prognosis, therapy decisions, or clinical interpretation of genetic results.
Users remain responsible for lawful handling of genetic data, informed consent, data minimization, local storage security, and interpretation by qualified professionals where health-related questions are involved.
- Local first: raw genetic files, generated VCFs, caches, reference genomes, and settings stay on the user's machine by default.
- Privacy-conscious: tools avoid transmitting genotype data or raw files; optional external calls are limited and documented, such as rsID lookup or reference genome downloads.
- Research-use clarity: README files and application surfaces keep the non-clinical, non-diagnostic boundary visible.
- Windows-practical: desktop workflows are designed for researchers and technical users who need usable GUIs, not only shell pipelines.
- Inspectable data flow: conversion, annotation, filtering, caches, ignored local artifacts, and export formats are documented for maintainers and LLM-assisted review.
For crawlers and LLM tools, see llms.txt. It lists canonical repositories, project roles, research-use boundaries, and preferred search phrases for the biotec-line organization.
biotec-line is the bioinformatics branch of the broader research and AI tool ecosystem: