Rapid sample identity verification across a broad range of assays, sequencing platforms, and file formats. Point it at FASTQ, BAM, CRAM, or VCF and quickly learn whether two samples come from the same individual.
Identity errors rarely announce themselves. They pass routine QC metrics and quietly undermine every downstream result. Resphera SNP Check is built to catch them before analysis, not after publication.
Every sample becomes a node. Every genotype match becomes a link. Samples that don't belong where they're labeled stand out immediately.
Raw data files are processed from a wide range of assays and platforms, and evaluated against their expected origin.
Genotype concordance links samples together. Related individuals cluster at low thresholds.
Raising the threshold separates relatives into distinct individuals.
A sample whose genotype matches a different subject is flagged as a likely swap.
Sample identity verification is one of the most critical, and most underserved, steps in genomic research.
Mix-ups at collection, processing, or sequencing introduce systematic errors that affect every downstream analysis.
Low-level contamination from adjacent samples confounds variant calls and obscures true biological signal.
Mislabeled FASTQ files, incorrect subject IDs in manifests, and database entry mistakes are common in large multi-sample studies.
The same individual may appear as WGS, RNA-seq, and methylation data, each requiring concordance checks across fundamentally different data types.
Resphera SNP Check handles a wide range of input combinations without converting them into a common format first.
Compressed or uncompressed. Format and reference version detected automatically.
Bulk, targeted, epigenetic, and single-cell data all supported.
Short reads, long reads, and everything in between.
Compare samples across assay types in a single unified report.
From raw files to a relatedness verdict for every sample pair in your dataset.
Accepts FASTQ, BAM, CRAM, SAM, FASTA, or VCF directly. Format and compression detected automatically, with no alignment pre-processing.
Genotypes a curated panel of highly polymorphic, ancestry-balanced SNPs from the input reads or variant calls.
Computes allele-sharing statistics between pairs of samples across assay types and platforms, given sufficient coverage at fingerprint sites.
Dynamic threshold analysis of concordance scores characterizes the degree of genomic relatedness across sample pairs.
Tell us about your study. We work with data from a wide range of genomic platforms, assay types, and file formats.
For Research Use Only. Not for use in diagnostic procedures.
