Elpis Biosciences · Research Division
Pipelines you can run again.
Custom, reproducible bioinformatics for labs, startups, and research groups — from metagenomics to protein structure prediction. You get the analysis, the code, and the environment to rerun it yourself.
- 6
- analysis domains
- 100%
- of deliverables include source
- 0
- black-box steps
- RUO
- research use, not clinical
Most analyses can't be run twice.
The usual pattern: results arrive as a spreadsheet and a figure. Six months later a reviewer asks what parameters were used, or a new batch of samples comes in, and nobody can reproduce the original run. The tool versions have moved. The scratch directory is gone. The person who ran it has graduated.
Elpis Research builds the opposite. Every engagement ships as a versioned, containerized pipeline with pinned dependencies and a documented command to rerun it. The results are the deliverable, but so is the ability to produce them again — on new data, on a different machine, without us.
This is the same commitment that drives the consumer side of Elpis. There it means showing you the citation behind every claim. Here it means showing you every step behind every number.
See the full capability listFrom metagenomics to protein folding.
Six domains, one approach. If your question sits between two of them, that's usually the interesting kind of project.
Metagenomics & microbiome
Taxonomic and functional profiling, assembly, metagenome-assembled genome recovery, differential abundance across conditions.
Phylogenetics & comparative genomics
Alignment and tree inference at scale, ancestral state reconstruction, orthology, synteny, and tests for selection.
Variant analysis
Germline and somatic calling from WGS or WES, annotation and filtering strategy, population-genetic summaries.
Transcriptomics
Bulk and single-cell RNA-seq, quantification, differential expression, batch correction, cell-type annotation.
Protein structure & function
Structure prediction, structural comparison and clustering, pocket and interface analysis, structure-informed variant interpretation.
Pipeline engineering
Turning an existing ad-hoc analysis into a workflow that runs anywhere — containerized, version-pinned, and testable.
Four steps. No surprises.
Pricing is scoped per project rather than listed, because the same phrase — "RNA-seq analysis" — can describe a two-day job or a two-month one.
-
01
Scope
A short conversation about your question, your data, and what a useful answer would look like. No charge, no commitment.
-
02
Quote
A written proposal: methods, deliverables, timeline, fixed price. If the question is poorly suited to the data, we say so here rather than after invoicing.
-
03
Build
The pipeline is developed against your data with checkpoints along the way, so direction changes happen early instead of at handoff.
-
04
Hand off
Results, source code, container definitions, and a written methods section you can adapt for a manuscript — plus a walkthrough so your team can run it.
This work funds the free parser.
Elpis Biosciences also runs a free consumer genome parser — four research-backed reports built from genetic data people already own, processed entirely in the browser, with no accounts and no data collection.
That side has no revenue by design. Services engagements are what pay for it. If you hire us, you're also the reason someone reads an honest, cited explanation of their own genome for nothing.
See the consumer sideHave a project in mind?
Tell us what you're trying to find out and what data you have. We'll tell you whether it's a good fit — including when the honest answer is that it isn't.