Identify and characterize viral genomic variants using a validated Illumina-based workflow optimized for sensitive and accurate SNP, insertion and deletion detection.
Viral Variant Detection Analysis is a sequencing-based approach used to identify genetic differences within viral genomes, including single nucleotide polymorphisms (SNPs), insertions, and deletions. These genomic variants can influence viral characteristics such as infectivity, pathogenicity, immune escape, and product quality. BaseClear’s service provides accurate detection and characterization of viral genomic variants through validated whole genome sequencing and bioinformatics workflows, enabling researchers and developers to monitor viral populations and assess genomic stability with confidence.
This service is designed for biopharmaceutical companies, vaccine developers, viral vector manufacturers, cell and gene therapy organizations, academic research groups, and public health laboratories. Typical applications include monitoring viral strain evolution, assessing genomic stability during manufacturing, comparing viral isolates, supporting process development, characterizing reference materials, and investigating sequence changes that may impact safety, efficacy, or regulatory compliance. The service is particularly valuable for organizations requiring sensitive and reproducible detection of viral variants in research, development, or quality-control environments.
BaseClear applies a validated Illumina whole genome sequencing workflow combined with a dedicated bioinformatics pipeline for variant detection. Following sample preparation and sequencing, high-quality sequencing reads are aligned against a reference viral genome and analyzed to identify SNPs, insertions, and deletions across the viral genome. The workflow has been validated for accuracy, precision, repeatability, reproducibility, sensitivity, and specificity, ensuring reliable variant detection across different sequencing runs and operators. Quality controls are incorporated throughout the process to support robust and reproducible genomic analysis.
Clients receive a comprehensive package of sequencing and variant analysis deliverables. Results include quality-controlled sequencing data, genome alignment files, detailed variant call tables describing identified SNPs, insertions, and deletions, and summary reports outlining variant frequencies, genomic locations, and quality metrics. The final report documents the analytical methods used, validation status of the workflow, and interpretation of the results, providing clients with actionable genomic insights to support research, development, manufacturing, and regulatory decision-making.
Together, we discuss your viral system, study goals, and variant detection requirements. Our team helps determine the most suitable sequencing and analysis strategy based on your research, development, or quality-control objectives.
You provide viral material together with the relevant project information and reference genome details. BaseClear performs the required quality assessments and keeps you informed throughout the project lifecycle.
Your samples undergo whole genome sequencing using validated Illumina workflows designed for high-quality viral genome characterization. Sequencing data are generated with sufficient coverage to support reliable variant detection across the viral genome.
BaseClear analyzes the sequencing data using validated bioinformatics pipelines to identify SNPs, insertions, and deletions relative to the reference genome. Quality metrics and analytical controls are applied to ensure accurate and reproducible results.
You receive a comprehensive report containing identified variants, sequencing quality metrics, genome analysis results, and supporting data files. The results provide clear genomic insights to support research, process development, manufacturing, and regulatory decision-making.
Genomics and sequencing projects completed
Years of sequencing and genomics expertise
Validated molecular analysis workflows
Cell culture samples analysed
The validated workflow reliably detects viral variants down to a variant allele frequency (VAF) of 5% in Illumina paired-end sequencing data. During validation, recall scores exceeded 0.9 for variants present at 10–100% frequency and remained above 0.8 for variants present at 5–10% frequency across multiple viral genomes and coverage depths. This demonstrates that the method can identify both dominant and low-frequency viral variants, including SNPs, insertions, and deletions, making it suitable for mutation monitoring and viral population analysis.
The workflow uses the GATK Mutect variant caller configured in microbial mode for viral variant detection. Following adapter trimming, quality filtering, and reference alignment, variants are identified and filtered using a standardized pipeline that has been validated on both simulated and experimentally generated viral sequencing datasets. GATK was selected based on published performance studies and internal benchmarking against alternative variant calling tools.
A sequencing depth of approximately 200× is recommended for the best balance between sensitivity and precision. Validation testing showed strong recall and precision performance at 200× coverage for mixed variant types, including SNPs and indels, while higher coverage depths did not consistently improve overall performance because duplicate-read removal reduces effective coverage. The method remains functional at higher coverage levels, but 200× provides the most efficient and robust operating point.
The workflow incorporates host-read filtering to improve mapping accuracy when viral samples contain host-derived sequences. During validation, a Reovirus sample grown in macaque cells initially showed only 65% mapping to the viral reference genome. After sequential filtering of human and macaque host reads, mapping increased to 97%, significantly improving alignment quality and confidence in downstream variant calling results.
The validated workflow demonstrated high accuracy with fewer than five variants per 100 kb of viral genome sequence, meeting all predefined acceptance criteria. Real-world testing on Reovirus, Rotavirus, and bacteriophage MS2 datasets showed either zero detected variants or only isolated variants that were traced to reference sequence assembly issues rather than true biological mutations. These results confirm that the method can accurately distinguish genuine viral variants from sequencing and reference-related artefacts.
Detect mycoplasma contamination in cell cultures using sensitive molecular detection methods.
High-accuracy DNA sequencing for PCR products, plasmids, and targeted genetic regions.
Quantify the residual host cell DNA in your samples using digital PCR technology.
Speak with our experts to discuss your cell line identification project. We will help you determine the appropriate analysis approach and provide reliable sequencing results to support your research and quality control workflows.
