Welcome to Zynt Bio — your partner in precision bioinformatics delivering reproducible and decision-ready insights.
From Raw Sequencing to Actionable R&D Insights.
Zynt Bio develops a cloud-native bioinformatics platform optimized exclusively for plant systems, host-pathogen dynamics, microbial strain engineering, and environmental metagenomics — including AMR surveillance and biosynthetic pathway discovery. Purpose-built for non-human biology, our workflows avoid the regulatory and infrastructure overhead of clinical systems, delivering secure, auditable, and reproducible data assets.
Modern biotechnology no longer suffers from a lack of genomic data; it suffers from a lack of reproducible processing and automated infrastructure. We combine deep domain intuition in host-pathogen dynamics and microbial ecosystems with enterprise-grade cloud architecture, delivering clean, structured genomic insights that commercial R&D directors and federal research agencies can rely on.
All data workloads execute on fully isolated, secure, and elastically scalable AWS infrastructure utilizing containerized Nextflow workflows optimized for high-throughput alignment, statistical modeling, and pattern profiling, ensuring fast processing and strict data governance.
Our workflows leverage strict, production-ready community frameworks (including custom-tuned nf-core architectures), giving zero-install pipeline reproducibility, eliminating local software conflicts, and tracking file provenance for every step.
Every project delivers detailed technical narratives and methodology briefs — exact command-line parameters, database versions, and workflow hashes — giving you a complete, verifiable record of how your results were produced.
Comprehensive mRNA-seq and high-precision small RNA profiling to trace target gene knockdown efficiency, mobile RNA signals, and crop genetic traits.
Powered by Zynt DualSeq™, our specialized Dual RNA-Seq pipelines are designed to simultaneously align and de-convolve mixed sequence matrices, separating plant immune responses from fungal or bacterial virulence factors.
We use shotgun metagenomics and advanced binning (MetaBAT2, MaxBin2) to reconstruct Metagenome-Assembled Genomes (MAGs), map active metabolic soil pathways, and profile the environmental resistome — screening for antimicrobial resistance genes to support agricultural stewardship and regulatory reporting.
From discovery to validation: we mine genomic and metagenomic data for novel biosynthetic gene clusters and enzymatic pathways, then verify engineered production strains through whole-genome resequencing, CRISPR off-target mutation screening, and expression cassette integrity audits.