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).
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:
-Dr. Arthur Liberzon, Bioinformatician, Alkermes, Inc.
Using QIAGEN OmicSoft OncoLand oncology database, the possibilities for biological discoveries from cancer datasets are endless:
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.
Explore our powerful solutions for biomarker and target discovery
Explore how QIAGEN OmicSoft OncoLand can help you dig deeper into your ‘omics data to extract novel insights
Learn how QIAGEN OmicSoft OncoLand helps boost TCGA data exploration with manually curated clinical metadata