Genomics
The blueprint. Variants, structure, and function from raw sequence.
ReloGene unifies genomics, transcriptomics, multi-omics, advanced bioimage analysis, and AI to connect genotype to phenotype, turning complex biological data into dependable answers.
ReloGene helps researchers, institutions, startups, and industry partners unlock biological insights through advanced analytics, AI, and scalable scientific workflows.
We work at the intersection of biology, data science, and technology, building reproducible, intelligent pipelines that turn raw sequencing reads, microscopy stacks, and multi-omics measurements into decisions researchers can act on. Whether it's a single experiment or an ongoing collaboration, we meet teams where they are, and our capabilities grow with every project we take on.
Most teams do bioinformatics or imaging. We work across the full path from sequence to observable biology, bringing every layer of evidence into one continuous analysis so signal isn't lost at the handoffs between disciplines.
The blueprint. Variants, structure, and function from raw sequence.
Expression in action: bulk, single-cell, and spatial.
Genomics, transcriptomics, proteomics, and more, integrated into one model.
Phenotype made measurable, from fluorescence to electron microscopy.
Models that link the layers and predict the phenotype.
One continuous thread, from sequence to system to phenotype.
From raw signal to publication-ready insight. Hover any capability to see how we apply it.




































We grow through the people we work with. ReloGene is actively building its network, and we'd welcome the chance to find ways to work together, from a focused analysis to a long-term partnership.
Joint analysis, method development, and co-authored work with research groups.
Working with labs and departments on grants, pipelines, and student training.
Supporting biotech and health teams with computational expertise on real problems.
Project-based opportunities for students to gain hands-on bioinformatics experience.
As we take on projects, we're quietly building the internal tools and systems that make our own science faster, more traceable, and more reproducible. Two early initiatives lead that effort.
Our internal workflow platform: a growing collection of tools and automation systems for biological data analysis, developed and refined through real-world projects.
An early-stage concept focused on research data organization, traceability, and reproducibility across studies.
Tell us about your data and your questions. We'll help you turn complexity into clarity.
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