Accelerate large-scale genetic studies with our high-throughput Genotyping-by-Sequencing (GBS) platform, designed for rapid and reliable SNP discovery and genotyping across hundreds to thousands of samples. Our GBS solutions support a wide range of applications, including Genome-Wide Association Studies (GWAS), molecular breeding, population genetics, diversity analysis, and research involving both model and non-model species.
At N2Jenomics Lab Pvt. Ltd., we combine advanced sequencing technologies with robust bioinformatics pipelines to deliver highly accurate, scalable, and cost-effective genotyping results, enabling researchers to generate comprehensive genomic insights with confidence.
Genotyping-by-Sequencing (GBS) is a powerful Next-Generation Sequencing (NGS)-based technology that enables the simultaneous discovery and genotyping of thousands to millions of Single Nucleotide Polymorphisms (SNPs) across the genome. By combining genome complexity reduction with high-throughput sequencing, GBS provides an efficient and economical solution for large-scale genetic analysis.
GBS is particularly valuable for species with limited genomic resources and is well suited for projects that require scalable, high-throughput, and cost-effective SNP genotyping. Since the method can be applied with or without a reference genome, it has become a preferred approach for studying both model and non-model organisms.
Genotyping-by-Sequencing is widely used in a variety of genomic research areas, including:
Our streamlined GBS workflow includes the following key steps:
• Genome Complexity Reduction using restriction enzyme digestion to target informative genomic regions.
• Barcode Adapter Ligation to uniquely label individual samples, enabling multiplex sequencing.
• High-Throughput Sequencing on advanced Illumina platforms such as NovaSeq™.
• Bioinformatics Analysis, including quality control, sequence alignment (when applicable), SNP discovery, genotype calling, and comprehensive downstream data interpretation.

Genotyping-by-Sequencing (GBS) has become one of the most widely adopted SNP genotyping technologies due to its ability to deliver high-throughput, accurate, and cost-effective genomic data. By combining genome complexity reduction with next-generation sequencing, GBS provides an efficient solution for large-scale genetic studies, molecular breeding, and research involving both model and non-model organisms.
GBS can be successfully applied to species with limited or no available reference genome, making it an excellent choice for non-model organisms, newly sequenced species, and exploratory genomics projects.
By sequencing a reduced representation of the genome rather than the entire genome, GBS significantly lowers sequencing costs while maintaining high-quality SNP discovery and genotyping, making it an economical option for large population studies.
GBS enables the simultaneous analysis of hundreds to thousands of samples through multiplex sequencing, making it ideal for large-scale projects such as Genome-Wide Association Studies (GWAS), Quantitative Trait Loci (QTL) mapping, genomic selection, and molecular breeding programs.
Unlike fixed SNP arrays, GBS can identify both known and novel SNPs across the genome in a single experiment. The technology frequently captures variants within gene-rich regions, providing valuable markers for trait mapping and functional genomics research.
The simplified library preparation protocol and streamlined sequencing workflow reduce hands-on time while enabling rapid project completion. Combined with automated bioinformatics analysis, GBS delivers reliable results with faster turnaround times.
GBS is suitable for a wide range of organisms, including plants, animals, microbes, and other species with complex or poorly characterized genomes, making it a versatile solution for diverse genomic applications.
Comprehensive downstream analysis—including quality control, SNP discovery, genotype calling, population structure analysis, and genetic diversity assessment—ensures that researchers receive actionable insights ready for further interpretation and publication.
GBS vs Other Genotyping Methods
| Feature / Method | GBS | RAD-seq | ddRAD | Whole-Genome Resequencing |
|---|---|---|---|---|
| Library Prep | Simple, no fragment selection | Complex, size selection required | Dual enzyme cut + size selection | Whole-genome library |
| Reference Genome Needed | No | No | No | Yes |
| Input DNA Requirement | Low (≥100 ng) | Moderate | Moderate | High |
| Cost | Low | Medium | Medium to High | High |
| Coverage | Gene-rich, wide genome coverage | Near enzyme cut sites | More targeted | Entire genome |
| Best For | GWAS, breeding, population studies | Structure & diversity studies | Small genomes | Mutation & reference-based analysis |
If you're seeking a budget-friendly, scalable, and standardized genotyping solution, GBS is the ideal choice for your next population-scale project.
Our streamlined Genotyping-by-Sequencing (GBS) workflow is designed to ensure high-quality data generation, accurate SNP discovery, and comprehensive bioinformatics analysis. Every project is managed by experienced scientists using standardized protocols and rigorous quality control to deliver reliable, publication-ready results.
Every project begins with a detailed consultation to understand your research objectives and experimental requirements.
Upon sample arrival, our laboratory performs comprehensive quality assessment to ensure suitability for GBS library preparation.
High-quality genomic DNA is processed using optimized GBS protocols to generate sequencing-ready libraries.
Prepared libraries are sequenced on advanced Illumina platforms to generate high-quality genomic data.
Sequencing Platforms
Sequencing Configuration
Recommended Data Output
Our experienced bioinformatics team processes sequencing data using validated analytical pipelines and delivers comprehensive, publication-ready results.
Deliverables include:
Genotyping-by-Sequencing (GBS) is a versatile and high-throughput genomic technology that supports a broad spectrum of research and industrial applications. Its ability to simultaneously discover and genotype thousands of SNPs makes it an invaluable tool for genetic mapping, population studies, molecular breeding, precision medicine, and biodiversity research.
GBS accelerates modern breeding programs by enabling rapid identification of genetic markers associated with important agronomic traits.
GBS provides genome-wide genetic information for studying population structure, genetic diversity, and evolutionary relationships across natural populations.
High-density SNP genotyping generated by GBS supports disease genetics, biomarker discovery, and precision medicine research.
GBS enables genomic selection and marker-assisted breeding to improve productivity, health, and disease resistance in livestock and aquatic species.
GBS supports microbial diversity studies and environmental genomics by characterizing genetic variation across microbial populations.
For comprehensive biological insights, GBS can be integrated with complementary genomic technologies to provide a deeper understanding of complex biological systems.
At N2Jenomics Lab Pvt. Ltd., our GBS service extends beyond sequencing. We provide complete bioinformatics support—from raw sequencing data processing to advanced population genetics and variant analysis—using validated analytical pipelines to ensure accurate, reproducible, and publication-ready results.
Our quality control pipeline ensures that only high-quality sequencing data proceeds to downstream analysis.
We employ industry-standard software and optimized workflows for accurate variant identification.
For projects involving genetic diversity, breeding, or evolutionary studies, we offer advanced population genomic analyses.
Every research project has unique objectives. Our bioinformatics experts can design customized analytical workflows tailored to your study.
We provide support for:
With advanced computational infrastructure, experienced bioinformaticians, and scalable analytical pipelines, N2Jenomics Lab Pvt. Ltd. delivers reliable, high-quality genomic insights that empower researchers, breeders, and industry partners to make informed scientific decisions.

| Parameter | Specification |
|---|---|
| Sample type | Genomic DNA |
| Recommended input | ≥300 ng |
| Minimum input | ≥100 ng |
| DNA concentration | ≥10 ng/μL |
| Purity (OD260/280) | 1.8–2.0 |
| Integrity | No degradation or visible impurities |
| RNA contamination | Must be removed via RNase treatment |
📌 If your samples do not meet the recommended criteria, we also provide DNA extraction services. Please contact us to assess sample suitability or request detailed submission guidelines.
A GBS tag is a short DNA sequence generated adjacent to a restriction enzyme recognition site during Genotyping-by-Sequencing library preparation. Each tag represents a specific genomic region that is sequenced to identify genetic variants such as SNPs.
The overall genomic coverage depends on the number of tags, read length, and sequencing depth. Increasing the number of tags and sequencing depth generally improves SNP discovery and genotyping accuracy, making GBS suitable for a wide range of genetic studies.
The optimal number of GBS tags depends on your research objectives, genome size, and the marker density required.
As a general guideline:
Our scientific team evaluates your project goals, genome characteristics, and sample size to recommend the most appropriate sequencing strategy and tag density for optimal results.
Yes. One of the major strengths of GBS is that it can be successfully applied to non-model organisms and species without a fully assembled reference genome.
Reference-free analytical workflows allow researchers to discover and genotype SNPs across previously uncharacterized genomes. However, when a high-quality reference genome is available, additional analyses such as candidate gene identification, functional annotation, and genomic localization can be performed with greater precision.
Yes. GBS has been widely applied to polyploid organisms, including crops such as wheat, cotton, oats, potato, and other species with complex genomes.
Our bioinformatics workflows can be adapted to accommodate different ploidy levels, enabling accurate SNP discovery and genotype analysis in both diploid and polyploid species.
GBS is most effective for within-species (intraspecific) studies where individuals share similar genomic architecture.
Although GBS can sometimes be applied to closely related species within the same genus, extensive genomic divergence may reduce the number of shared restriction sites and SNP markers. For interspecies studies, our experts can recommend the most appropriate sequencing strategy based on your research objectives.
Yes. GBS data can be combined with multiple omics datasets to provide a more comprehensive understanding of complex biological traits.
Our integrated multi-omics solutions include:
In many cases, yes.
Although high-quality DNA provides the best sequencing performance, our technical team can evaluate samples with lower concentration or variable quality to determine their suitability for GBS.
When necessary, we also provide:
Absolutely.
Our GBS services are fully modular, allowing you to select only the services you require.
Available options include:
• This flexibility enables seamless integration with your existing research workflow.
Yes.
Our laboratory is equipped with automated workflows and high-throughput Illumina sequencing platforms capable of processing hundreds to thousands of samples in parallel.
We routinely support large-scale projects involving:
Depending on the selected service package, project deliverables may include:
GBS is widely used across numerous disciplines, including:
Its flexibility, scalability, and cost-effectiveness make GBS one of the most widely adopted SNP genotyping technologies for modern genomics research.