Methodology
How we bridge biology and computation.
Our process is built on the "White Box" principle. Every line of code and statistical assumption is documented, auditable, and reproducible by your internal teams.
01.
Problem Definition
Identifying biological questions before touching the data.
02.
Data Audit
Rigorous QC and normalization of raw sequencing assets.
03.
Method Selection
Selecting models based on distribution, not convenience.
04.
Implementation
Containerized workflows using Nextflow or Snakemake.
05.
Review
Final validation against biological controls.
What we
refuse to do
- [!] NO BLACK-BOX PROPRIETARY PIPELINES
- [!] NO IRREPRODUCIBLE ANALYSIS STEPS
- [!] NO STATISTICAL SHORTCUTS FOR P-HACKING
Security & Ethics
GDPR Compliance
Data processing strictly within EU boundaries using encrypted local clusters.
NDA Enforcement
Confidentiality is our baseline. Standard or bespoke NDAs are signed before any data audit.
Zero Data Reuse
Your datasets and custom models remain your intellectual property. Always.