Unravel the biology behind disease and treatment response. Explore and interpret your data with intuitive, visual tools. Gain insights that lead to new biomarker and target discoveries.
Rapidly identify the best biomarker and target candidates based on biological characteristics most relevant to your discovery study. Our powerful and high-quality tools are driven by over 20 million scientific findings and over 500,000 samples, to save you valuable time and resources while empowering your biomarker research by driving new discoveries.
Biomarker and target discovery techniques and approaches:
Your journey to biomarker and target discovery involves
exploring molecules and molecular interactions at critical points in a disease-causing pathway. Our solutions enable a systems biology approach to drive your discoveries by combining genetics, genomics and cell and chemical
biology. QIAGEN IPA’s powerful causal analytics and unique visualization tools empower you to interpret many types of data with biological context and get visually intuitive and useful insights about your experimental systems. QIAGEN OmicSoft Studio and Lands bring over half a million curated public datasets to allow you to compare and structure your ‘omics data to query, visualize and accurately define potential targets and elucidate probable mechanism of action to accelerate drug development.
Identify and prioritize molecular candidates
Interaction network analysis
Uncover potential mechanism of action
Explore molecules and pathways associated with disease
QIAGEN IPA enables prioritization of molecular biomarker candidates based on key biological properties to help you elucidate mechanisms that link markers to a disease or phenotype. QIAGEN IPA’s Analysis Match tool looks across tens of thousands of already-processed analyses to help you evaluate how biomarker candidates behave across diverse biological contexts such as disease or chemical treatments.
With QIAGEN OmicSoft Lands, analyze ‘omics data from thousands of curated studies, and hone-in on candidate genes to reveal patterns of expression across tissues and disease. Use our sophisticated yet intuitive genome browser to remove introns to focus on analyzing exon sequences of your favorite gene. Compare coding regions across thousands of curated public and private datasets and juxtapose them with your own data. Compare survival curves to identify candidate biomarkers representative of disease or population segments for further validation.
QIAGEN IPA offers powerful tools for deep analysis and intuitive visualization of RNA-seq and miRNA data, supporting isoform elucidation. The Isoform View displays expression data associated with each isoform from uploaded RNA-seq data in an intuitive graphical overview. Significantly regulated isoforms in experimental data are intuitively displayed to facilitate exploration of their impact on functional protein domains with links to isoform-specific publications. You can also use QIAGEN IPA’s IsoProfiler to filter your RNA-seq dataset to specific transcripts with unique properties that can serve as biomarkers in your studies. For example, find a spliced transcript that is tissue-specific or associated with a relevant phenotype, and is usually less expressed compared to the primary transcript for that gene.
Discover the full RNA-seq pipeline in our QIAGEN OmicSoft Array Suite, complete with flexible sample metadata management and curation, to help you analysis, manage and visualize of your ‘omics data.
QIAGEN OmicSoft allows you to analyze the underlying RNA-seq data directly in the genome browser to reveal specific RNA transcripts differentially expressed in a particular disease state.
QIAGEN OmicSoft allows you to compare gene expression patterns for tumor versus normal, tissue versus tissue, treatment versus control, treatment resistant versus sensitive, and other comparisons across thousands of expertly curated public datasets. Quickly and visually determine genes that have been down- or up-regulated in a disease state to identify potential biomarkers for a disease or disease process. Use heatmaps to evaluate gene expression signatures against metadata, or to determine which datasets reveal differential expression of your favorite set of genes.
Use QIAGEN OmicSoft Land Explorer to access hundreds of thousands of OmicSoft Land datasets within a web-based environment, to examine a target’s expression or mutation status across hundreds of disease categories. Explore curated expression data, survival analysis, correlation analysis tumor versus normal analysis to find or compare candidate genes.
QIAGEN IPA helps you understand the cause and effect of gene expression changes in your transcriptomics experiments so you can identify potential targets for further exploration. Predict which upstream regulators are responsible for the gene expression and whether those regulators are activated or inhibited, all based on experimentally observed relationships derived from curated literature. Easily visualize downstream effects, so you can determine if your differentially expressed genes are likely to cause an increase or decrease in downstream biological processes or diseases.
With QIAGEN IPA you can better understand toxicity responses by exploring connections between drugs or targets and related genes or chemicals. Edit and expand networks based on the molecular relationships most relevant to the project.
Once you have one or more candidate targets, QIAGEN IPA can help you understand the mechanism(s) of action that may bring about a desired biological or therapeutic effect by analyzing it in the context of disease pathways or processes, and understanding how up-or-down-regulation would affect the pathway or signaling cascade.
QIAGEN IPA leverages the QIAGEN Knowledge Base, a comprehensive and timely resource that synthesizes and integrates many different types of biological information in a single place.
QIAGEN IPA helps you uncover details associated with a disease or biological function, such as associated molecules, known drug targets, drugs known to target those molecules and more. Generate molecular profiles of diseases, phenotypes and biological processes (e.g., apoptosis) listing all the genes and compounds that have been associated with the profiled term along with their documented causal effects. Find, filter and prioritize genes and compounds based on your specific research question. Focus on molecules of interest, find causally relevant genes, filter for specific genetic evidence or for a particular species, and explore associations with similar diseases or phenotypes. Examine filtered data further in the context of pathways.
Request a consultation with one of our bioinformatics specialists to discuss your specific research requirements.
Analyze NGS and 'omics data from Sample to Insight using our highly visual and specialized tools for data normalization, quality control, read mapping, gene expression and more
Generate insights from complex 'omics data and deepen your understanding of the biological mechanisms hidden in your experiments
Scale your NGS: From single-user to enterprise-friendly data analysis, our NGS enterprise solutions are scalable and support multiple users in an intuitive way