Data Analysis and Interpretation

web visual for resources
Benefit from intuitive tools and market-leading data interpretation to gain deep biological insights into your NGS data
  • Main Image Navi
Dramatically accelerate data analysis and focus on the most relevant results with rapid identification and prioritization of genetic variants. Advanced bioinformatic solutions using market-leading Ingenuity Variant Analysis provide easy-to-use tools for the biological interpretation of NGS data. 

QIAGEN's NGS data analysis solutions provide:
  • An intuitive, user-friendly interface that is ideal for users with no bioinformatics training
  • Interactive filters to quickly narrow down the search for causal variants
  • Web-based applications for rapid and insightful interpretation of sequencing data
  • Access to the most current and advanced interpretations of genomic data
Deep insight with Ingenuity Variant Analysis
Ingenuity Knowledge Base: expertly curated biological interactions and functional annotations
Data analysis tools for GeneRead DNAseq Gene Panels
Discover the biological relevance of your data with Ingenuity Variant Analysis
Put findings into a deeper biological context with integrated and accurate evidence using Ingenuity Variant Analysis — the leading application for analysis and interpretation of human sequencing data generated using NGS technologies. With its intuitive, user-friendly interface, no bioinformatics skills are required. Interactive filter cascades allow you to interrogate your variants from multiple biological perspectives, explore different biological hypotheses, and identify the most promising variants for follow-up (see figure Ingenuity Variant Analysis). Sharing and publication tools allow collaboration with colleagues and aid in manuscript preparation.

Ingenuity Variant Analysis leverages the Ingenuity Knowledge Base, a repository of expertly curated biological interactions and functional annotations created from millions of individually modeled relationships between proteins, genes, complexes, cells, tissues, drugs, and diseases. These modeled relationships include rich details, links to the original article, and are reviewed for accuracy by Ph.D. scientists. The curated content in the Knowledge Base is structured into an ontology that allows for contextual information, computation by the applications, and synonym resolution to ensure consistency across concepts, making the Ingenuity Knowledge Base distinctive and unparalleled by any other database.

Back to top

Ingenuity Knowledge Base: a repository of expertly curated biological interactions and functional annotations
Distinctive because of the breadth of biology and chemical knowledge, Ingenuity Knowledge Base delivers accuracy and structure of the content for relationship and computation using the Ingenuity Ontology (see figure Ingenuity Knowledge Base).
Not just simple “A to B” relationships
Contextual details, such as species specificity, cell type/tissue context, site and type of mutations, direction of change, post-translational modification sites, epigenetic modifications, and experimental methods are included. These contextual details allow you to ask questions such as “transcription factor X increases expression of a gene Y in a specific cell type.”
Supports computation
The Ingenuity Ontology makes information computationally accessible so you can more rapidly infer novel insights from your own data or get to specific knowledge that is relevant to your research.

Ask questions across various types of connections (molecular, cellular, and organismal) and make inferences from one concept to another, or find likely paths between molecular concepts (gene to disease, drug to gene, etc.).
Provides synonym resolution
The Ingenuity Ontology ensures semantic and linguistic consistency across concepts. The Ingenuity Knowledge Base incorporates processes to resolve synonyms and homographs in order to maintain object identity and remove duplicate objects. Because the same terms are mapped across databases and concepts, disparate information from unrelated disciplines and sources can be integrated to run powerful queries and get precise answers to complex, data-driven questions. It also allows you to take information from multiple sources and related it to your own dataset or questions of interest.
Content acquisition
Content Acquisition consists of a robust set of people, processes and technology for curating high-quality scientific relationships from peer-reviewed journals and both public and private biomedical databases. Information collected goes through a thorough, repeatable quality control process to insure the molecular information, called "Findings", are captured as originally published and are integrated into the Ingenuity Ontology, a framework for organizing and describing biological evidence. Both confirmation and contradictory Findings are captured, including the source publication and the context for the Finding, to ensure users will have all the supporting evidence required to assess the applicability of a specific Finding.
Expert review process
Our unique knowledge acquisition processes and quality control steps enable the level of structure in the Ingenuity Knowledge Base. All information in the Ingenuity Knowledge Base is manually reviewed by experts to ensure that the content is accurate and detailed, so whether you are using a manually curated relationship from the literature or a relationship described in a third party database, you can trust the quality of information in the Ingenuity Knowledge Base. And you can always link back to the original finding in the original source article.

Back to top

Data analysis tools for GeneRead DNAseq Gene Panels
Easy-to-use, cloud-based software for GeneRead DNAseq Targeted Exon Enrichment Panels automatically performs all the steps necessary to generate an analysis-ready report (.VCF file) from your NGS data, which can be uploaded to ingenuity Variang Analysis for additional biological analysis and interpretation.