Integrating the breadth of public data to make it explorable, comparable and discoverable requires it to be analyzed, processed and curated, which takes an incredible amount of time and expertise. Yet, many organizations cannot scale their resources to meet the requirements for harnessing the power of integrated public data, leading to extended timelines and derailed projects.
The QIAGEN OmicSoft Lands collections of ‘omics data integrate datasets from the largest public repositories using controlled vocabularies and extensive manual curation. This integrated ‘omics data collection spanning across disease, oncology and single-cell datasets accelerates insights from the data to streamline discovery of gene signatures, biomarkers and therapeutic targets.
Learn more about our integrated ‘omics data from:
Used in nearly all stages of drug development, QIAGEN OmicSoft Lands integrated ‘omics data collections let you:
QIAGEN OmicSoft combines expert curation and bioinformatics processing to centralize datasets in the OmicSoft Lands integrated ‘omics databases for cross-project exploration. Because ‘omics data are only useful in the context of sample attributes, curation is the foundation for making data explorable, comparable and discoverable. QIAGEN has a team of over 30 Ph.D., M.S. and M.D. certified curators that follow strict and standardized protocols for processing and curating data across all OmicSoft Lands, ensuring high-quality, dependable data.
Explore datasets of common genetic disease including but not limited to immunological diseases, neurological disorders, metabolic diseases and cardiovascular diseases
An oncology database with integrated visualization software that helps cancer researchers easily explore high-quality public and private cancer genomics datasets
A collection of curated single-cell RNA-seq (scRNA-seq) data that makes analysis easy while delivering deep and novel insights
Curated and pre-processed RNA-seq and WES datasets from the most highly utilized human and mouse cell lines and primary tissue and cells in ATCC’s collection
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.
Do you have novel questions, hypotheses and hurdles to overcome? Our team of scientists and bioinformaticians can help you find the right ‘omics data solution for your research goals.
A reliable and convenient way to extend your in-house resources with expertise and tailored bioinformatics services that ensure high-quality results
Reveal meaningful biological patterns hidden among diverse data
Identify and studying actionable gene variants using the largest collection of manually curated data on disease-causing inherited and somatic mutations.