One Team. More Solutions.

Working together to reveal more genomic variations that matter in cancer research.

We’re on a mission to transform the way the world sees the genome. By combining the best-in-class analysis software of BioDiscovery with the structural variant detection power of optical genome mapping, we’re equipping cancer researchers with better tools, expanded services and an expert team. Let’s solve the complexities of cancer together to elevate the health and wellness of all people.

Explore Our Solutions at Booth #4021.


One company working together to transform the way the world sees the genome.



As part of our mission to elevate the health and wellness of all people, Bionano Genomics takes the fight against cancer personally. We’re committed to playing an important role in service to the cancer research community — building better tools, asking harder questions, and working together to make genomic discoveries that can ultimately lead to better outcomes for people diagnosed with cancer.

Decoding Cancer Complexity

View and analyze detected genomic scars associated with HRD in NxClinical, the leading copy number variation (CNV) analysis software solution for cytogenetics and molecular laboratories.

The latest NxClinical software (v6.2) release calculates three measures of genomic instability for homologous recombination repair deficiency (HRD) in solid tumors, from NGS and CMA data.

  • Loss of Heterozygosity (LOH)
  • Telomeric Allelic Imbalance (TAI)
  • Large-Scale State Transitions (LST)

Kayogram visualization

Join us in the Exhibitor Spotlight Theater

Experts will showcase this new capability of NxClinical™ software:

Application of Optical Genome Mapping for Comprehensive Genomic Structural Variation and HRD Analysis from Tumor Biopsies
Presented by
Dr. Ravindra Kolhe* and
Dr. Miriam Bornhorst**
*Medical College of Georgia/ Augusta University
**Children’s National Hospital
Tuesday, April 12
10:00 – 11:00 AM CST
Theater D
Poster Presentations

Engage with two poster presentations showing results from OGM applications.

Posters 2931 and 2933
Tuesday, April 12
Exhibit Hall
Integrating Science

Learn more about how these teams are using OGM in their cancer research at their poster presentations.


Poster 2931: Optical genome mapping workflow for identification and annotation of variants in hematological malignancies
Authors: Jennifer Hauenstein, Andy Pang, Alka Chaubey, Alex Hastie
Presented: April 12, 2022, 1:30 – 5:00 PM


Poster 2933: Utility of optical genome mapping for the chromosomal characterization of cell lines used in preclinical and clinical research
Authors: Nikhil S. Sahajpal, Ashis K. Mondal, Alex Hastie, Alka Chaubey, Ravindra Kolhe
Presented: April 12, 2022, 1:30 – 5:00 PM


(click on poster # above to view pdf)

Key publications in cancer research

A growing body of research demonstrates the benefits of optical genome mapping for cancer research. Check out some of the most recent publications from leading experts across the globe.
Next-generation Cytogenetics: Comprehensive Assessment of 52 Hematological Malignancy Genomes by Optical Genome Mapping
Application of Optical Genome Mapping for Comprehensive Assessment of Chromosomal Structural Variants for Clinical Evaluation of Myelodysplastic Syndromes
A National Multicenter Evaluation of the Clinical Utility of Optical Genome Mapping for Assessment of Genomic Aberrations in Acute Myeloid Leukemia
Optical Genome Mapping Reveals Additional Prognostic Information Compared to Conventional Cytogenetics in AML/MDS Patients
Clinical Utility of Combined Optical Genome Mapping and 523-gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers
Solid Tumors
Identification of Somatic Structural Variants in Solid Tumors by Optical Genome Mapping
Multiplatform Discovery and Regulatory Function Analysis of Structural Variations in Non-small Cell Lung Carcinoma
Structure, Dynamics, and Impact of Replication Stress-induced Structural Variants in Hepatocellular Carcinoma
The Landscape of Extrachromosomal Circular DNA in Medulloblastoma

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