Accelerate cancer research with an oncology database of curated cancer genomics data
QIAGEN OncoLand is an oncology database with integrated visualization software that helps cancer researchers easily explore high-quality public and private cancer genomics data and cancer datasets. Leverage QIAGEN’s world-class analysis pipelines, cancer dataset curation and data management tools to accelerate your oncology research projects – from cancer biomarker discovery, new target identification and target validation, to drug repositioning and indication discovery.
Used in nearly all stages of drug development (from discovery to preclinical and clinical research), OncoLand oncology database encompasses multi-omics platforms, while providing a standardized pipeline for incorporation of data, with controlled vocabularies for associated information on cancer datasets. Every project is expertly curated using an extensive set of controlled vocabularies to make the data FAIR (findable, accessible, interoperable and reusable).
Broad support for genomic data types and hundreds of curated and quality-controlled public cancer genome datasets
Powerful visualization and analytics to compare and correlate within and across datasets
Internal “Land” next-generation database technology provides very fast access to a large number of genomic datasets
No need to reinvent the wheel: QIAGEN’s bioinformatics team spends thousands of computing, curation and download hours each year to keep up with rapidly growing cancer genomics data so you don’t have to. By using our pre-curated cancer datasets and powerful analytics, you can:
“QIAGEN OmicSoft Lands save me a lot of time – rather than find, download, process and annotate individual data sets, I focus on testing hypotheses and exploring the data right away.”
-Dr. Arthur Liberzon, Bioinformatician, Alkermes, Inc.
Capabilities
Using QIAGEN OmicSoft OncoLand oncology database, the possibilities for biological discoveries from cancer datasets are endless:
Integrates the largest public consortium datasets, including TCGA, GTEx, Blueprint, CCLE, CGCI, ICGC, TARGET, TRACERx and more
Supports more than 20 major genomic data types and thousands of clinical measures
Analytics and visualizations of DNA-seq, RNA-seq, fusions, protein expression, copy number, methylation and clinical attributes
Securely integrate your internal cancer datasets with public data
Compare normal tissue expression to tumor and cell line data (e.g., GTEx vs TCGA vs CCLE)
Identify mutation patterns within and across diseases
Identify top gene fusions at nucleotide resolution
Correlate mutation and copy number variation with expression
Define custom cohorts to compare expression, copy number and more
Flexible API access for complex multi-omics queries
If you are a data scientist focused on ‘omics analysis, you’re probably consumed by maintaining your data lake and structuring the specific data you need. You may be frustrated by the gaps and inconsistencies in dataset metadata that cause your queries to return misleading results that could negatively impact your research.
With API access to QIAGEN OmicSoft data, you no longer must find, ingest and maintain databases that contain aggregations of public ‘omics data riddled with inconsistencies. Instead, you’ll be empowered to get right to the data analysis with queries of small or huge data slices from our unified ‘omics database. Our rigorous metadata curation approach combined with API access to structured and integrated ‘omics data allows you to perform large and complex cross-database, multi-omics queries. We also offer flat file options for ingesting the data into your own database or through our GUI designed for ‘omics visualization.
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