BRE Pipeline Validation: r = 0.99 Against Published RNA-seq Data
Complete concordance analysis of BRE output against Llinàs-Arias et al. (Mol Cancer 2023) using the E-MTAB-12823 dataset. 100% concordance in gene expression direction.
Automated RNA-seq, pathway analysis, and robustness validation — built for laboratories without bioinformatics teams. At a fraction of enterprise pricing.
Each engine automates a core bioinformatics workflow that typically requires an expert. Every result passes through robustness validation.
Security, accessibility, compute power, and statistical robustness — the foundation that makes automated bioinformatics trustworthy.
Early adopter pricing — lock in these rates before general availability.
Single RNA-seq differential expression run with PDF report.
Full RNA-seq + robustness validation. The sweet spot for academic labs.
Full platform access including future engines. For serious research groups.
Our platform is validated against peer-reviewed publications. Every claim is backed by reproducible results.
Complete concordance analysis of BRE output against Llinàs-Arias et al. (Mol Cancer 2023) using the E-MTAB-12823 dataset. 100% concordance in gene expression direction.
The published study whose RNA-seq dataset (E-MTAB-12823) was used to validate the BRE pipeline, achieving Pearson r = 0.99 correlation.
Integrating genomics, epigenomics, transcriptomics, and proteomics across 506 patients — the type of multi-layered analysis BIIOTECH aims to automate.
The methylation analysis market grows at 13-15% CAGR, driven by liquid biopsy and cancer epigenetics. 80% of labs outsource analysis due to complexity.