Nothing about diagnosing cancer is simple. Such a life-changing diagnosis requires oncologists to have confidence that their genetic tests are considered the most relevant, up-to-date to guide their diagnostic and treatment decisions.
To get a full picture of highly rearranged cancer genomes in heterogeneous samples, long-range information at high coverage and analysis tools with low false positives and high sensitivities are needed.
Our optical genome mapping collects up to 1600x coverage of genomes to uncover large structural variations beyond what long and short read sequencing can see, at variant allele fractions as low as 1%.
Cancer samples are simply too complex for low coverage whole genome sequencing. Tumour heterogeneity, complex rearrangements, and unsequenceable repetitive regions of the Genome create additional difficulties for long and short read sequencing technologies.
Bionano Saphyr Genome Imaging Instrument finds structural variations larger than 500 bp, genome-wide and unbiased and with the highest sensitivities and the lowest false positive rates, down to 1% variant allele fraction.
Our tools and platforms provide unparalleled structural variation detection for cancer research.
Genome testing for Oncology allows you to:
We provide a wide range of panels for the following cancers:
Indalo Bio offers services to empower Oncologists with expert-curated data to intelligently navigate the biological characteristics of genetic alterations and their clinical relevance in regards to a patient’s tumour profile. Capable of interpreting any alteration in any cancer type, our data helps deliver personalized, evidence-based treatment recommendations for an expanding menu of tests in a fraction of the time.
The Bionano Genome Imaging workflow starts with megabase size DNA isolation. A single enzymatic reaction labels the Genome at a sequence motif which occurs approximately 15 times per 100 kbp in the Genome.
The labelled DNA molecules are linearized in nanochannel arrays on a chip® and imaged in an extremely high throughput, the automated manner by a Genome Imaging Instrument.
Using pairwise alignments, the molecules are structured into local maps or whole-genome de novo assemblies. Spacing of the labels or changes in patterning is detected automatically, Genome-wide, to call all structural variants.