GENOMICS
Comprehensive Genomic Profiling
At Nucleome, we transform biological complexity into high-resolution, actionable genomic insights. Our reference-grade genome solutions enable researchers, clinicians, and industry partners to interrogate genomes at unprecedented depth and precision, from high-fidelity de novo assemblies to large-scale population genomics.
By integrating advanced sequencing strategies with robust analytical frameworks, we bridge raw genomic data and biologically meaningful discovery. We deliver accuracy, depth, and clarity across applications—whether resolving complex structural variants, constructing pan-genomes, or performing high-resolution genotyping—providing comprehensive insights into genome architecture, evolution, and disease biology.
Partner with Nucleome to explore genomes with precision, clarity, and impact—advancing discovery from research to clinical translation.
Why Genomics Matters
Genomics is the foundation of modern biology, medicine, and biotechnology. Understanding the complete genomic blueprint facilitates:
- Identification of pathogenic variants and therapeutic targets.
- Characterization of genetic diversity and evolutionary dynamics across populations.
- Advancement of precision breeding and trait optimization in agriculture.
- Development of personalized medicine and predictive diagnostics.
- Deeper insights into complex traits, gene regulation, and molecular mechanisms.
Next-Generation Sequencing Ecosystem
At Nucleome, we integrate advanced long-read, short-read, and single-cell sequencing approaches to achieve comprehensive genome interrogation across multiple scales. Our workflows leverage high-fidelity long-read sequencing for resolving complex genomic regions and structural variants, combined with ultra-deep short-read sequencing for accurate detection of SNPs, indels, and low-frequency variants.
This multi-layered strategy enables precise identification of single nucleotide variants, copy number variations, repeat expansions, and large structural rearrangements, ensuring high sensitivity, specificity, and complete genome resolution for research and clinical applications.
AI-Driven Genomic Interpretation
Our bioinformatics ecosystem combines robust variant calling pipelines, functional annotation frameworks, and multi-omics integration to translate raw sequencing data into meaningful biological insights.
Using advanced statistical models and machine learning approaches, we enable variant prioritization, pathway-level analysis, and predictive modeling.
By integrating genomic data with transcriptomic, epigenomic, and clinical datasets, we deliver actionable insights for biomarker discovery, disease mechanism elucidation, risk stratification, and precision medicine applications with high reproducibility and clinical relevance.
Our Key Solutions
Pan-Genome Assembly
Constructs a comprehensive genomic framework capturing the full genetic diversity across multiple individuals of a species, including core and variable genes. It reveals structural variations and gene presence/absence not captured in a single reference genome.
Why it should be done: Enables deeper insights into population diversity, evolution, and trait variability critical for advanced breeding and comparative genomics.
De Novo Genome Sequencing
Optical Mapping
Provides long-range genome structure information using high-resolution imaging of labeled DNA molecules, aiding in accurate genome assembly and structural variant detection.
Why it should be done: Enhances genome assembly quality and enables precise detection of large structural variations often missed by sequencing alone.
Genome Resequencing
Involves sequencing an organism’s genome using an existing reference to identify genetic variations such as SNPs, indels, and structural variants.
Why it should be done: Ideal for variant discovery, population studies, and understanding genetic differences linked to traits or diseases.
Human Genome Sequencing
Comprehensive sequencing of the entire human genome to identify both coding and noncoding genetic variants influencing health and disease.
Why it should be done: Enables precision medicine, disease risk assessment, and identification of clinically actionable variants.
Exome Sequencing
Targets the protein-coding regions (exons) of the genome, where most disease-causing mutations are found. It is cost-effective compared to whole genome sequencing.
Why it should be done: Efficient for identifying mutations linked to genetic disorders and widely used in clinical diagnostics.
Single Cell DNA Sequencing
Analysis of genomic variation at the level of individual cells, revealing cellular heterogeneity and rare subpopulations within tissues.
Why it should be done: Critical for cancer research, developmental biology, and understanding clonal evolution and mosaicism.
Genotyping By Sequencing (GBS)
A high-throughput, cost effective method for simultaneous SNP discovery and genotyping across large populations using reduced-representation sequencing.
Why it should be done: Ideal for large-scale breeding programs, genetic mapping, and diversity studies with high efficiency.