It is now easier than ever to extract biologically relevant information for genetic analysis and variant annotation
When analyzing genetic variants, finding biologically meaningful information can pose a challenge. Intuitive data analysis platforms and access to curated variants with known biological associations can make it easier to manage the large volumes of genomic data that come with advances in next-generation sequencing.
Illumina tools provide variant annotation and analysis in a context that helps drive research forward. Our powerful variant analysis and reporting software tools aggregate information from a broad range of sources. Extensive filters and efficient categorization processes streamline assessment of biologically relevant variants.
Illumina strives to provide researchers with software that annotates and analyzes variants efficiently to help find answers and leverage biological data for future experimental designs. Our rich repositories of genotype-phenotype and evidence-based variant associations can help labs expedite interpretation of the biological impact of variants of interest.
Illumina variant analysis software offers several research-enhancing features:
This online cloud-based platform assesses variant significance by rapidly annotating, filtering, and interpreting genomic data.Learn More
This web-based platform aids research designs by mining > 20,000 genomic studies to find data-driven answers for genes, experiments, drugs, and phenotypes.Learn More
This cloud-based platform streamlines your entire analysis workflow with aggregation, mining and data science capabilities.Learn More
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BaseSpace Correlation Engine offers a library of curated genomic data so researchers can validate results and test new hypotheses.
Translate complex genomic data into meaningful insights with BaseSpace Cohort Analyzer and BaseSpace Correlation Engine.
Variant interpretation is simplified with organized biomarker content curated from large public databases.
As a result of the SUREKids project, two hospitals jointly developed clinical bioinformatics teams for a national sequencing program.