Conservation organizations collect field samples, send them to a sequencer, and get back genomic data they can't interpret. This platform closes that gap — population genetics analysis with no command line, no bioinformatician required.
Most conservation organizations can collect samples. Most sequencing cores can return a VCF. Almost none have the bioinformatics staff to do anything with it.
Blood, tissue, or scat samples from camera trap sites, wildlife crossings, or reintroduction monitoring.
This part works fineA variant call format file lands in the organization's inbox. 50,000–500,000 lines of genotype data for every sample.
This part works fineWithout PLINK, R, Python, and a population genetics background, the file is unreadable. Most small orgs don't have any of those.
This is where things breakReintroduction site selection, source population pairing, inbreeding risk — all decided on intuition rather than genetic evidence.
Conservation outcomes sufferDrag-and-drop any standard VCF or VCF.gz file from any sequencing platform. The platform validates format, checks for biallelic SNPs, and confirms sample IDs in under a minute.
Assign sample IDs to geographic populations using the visual mapping interface. Bulk-select by region, apply saved labels from previous runs, or let the platform suggest groupings from the data.
Choose which analyses to run — PCA, ADMIXTURE, FST, ROH — and set parameters like MAF threshold and LD window. Sensible defaults are pre-filled for wildlife conservation use cases.
A PDF report written in plain English, with figures your board can read and statistics your agency partners can cite. Interpretation is included — not just the numbers.
Seven standard analyses run automatically on every uploaded VCF. Each includes a figure, the underlying statistics, and a plain-language interpretation of what the numbers mean for conservation management.
Scatter plot of samples in PC space, colored by population assignment. Identifies clusters, outliers, and admixed individuals. Variance explained reported for each PC.
Stacked bar chart showing ancestry proportions per individual across K=2 to K=8. Cross-validation selects the best K automatically. Admixed individuals are flagged for review.
Weir-Cockerham pairwise FST values across all population pairs, visualized as a heatmap. Populations with high FST are genetically isolated — important for translocation planning.
Runs of homozygosity detected per individual using PLINK2. FROH reported per sample, with population-level inbreeding summaries and flagging of high-risk individuals.
Observed and expected heterozygosity per population, plus the inbreeding coefficient FIS. Low heterozygosity populations are flagged against reference baselines for the species.
Every report section ends with a plain-language summary: what the results mean, what the risks are, and what options exist. Written for program managers and agency staff, not statisticians.
The platform was designed around one constraint: the people with the most valuable wildlife data are often the furthest from the computational tools to use it.
Small organizations running reintroduction programs, camera trap networks, or long-term population monitoring. You have samples. You have sequencing budgets. You need someone to read the results.
"We had four years of wolf genetic data we couldn't interpret."
Division of Wildlife Resources offices, fish and game departments, and tribal wildlife programs that need genetic evidence to support translocation decisions, management plans, or ESA petitions.
"Our biologist retired and took the pipeline with her."
Conservation biology programs that want to give students real population genetics experience without requiring a semester of bioinformatics prerequisites before they can touch the data.
"Students could finally work with their own field data."
For small orgs evaluating whether this fits your workflow. No credit card needed.
For active programs running regular genetic monitoring or annual surveys.
For state agencies and larger programs with multiple concurrent monitoring projects.
All pipelines running under the hood are open-source and peer-reviewable. We don't hide the analysis behind a black box. The platform is a usability layer on top of methods the conservation genetics community already trusts.
The free tier takes a VCF through the full pipeline. No credit card, no installation. If your sequencer can return a file, this platform can read it.
Questions? Email support@rewildgenomics.com — response within 48 hours.