Genialis provides industrial strength software—so powerful it’s the only system your informaticians will need; so easy it’s the only system your biologists will want to use.
Analyze your sequencing data—from RNA, ChIP, ATAC, CLIP, exome, variant panels, and more— with preconfigured pipelines or a la carte tools. The rich visual interface makes navigation and interpretation a snap.
We partnered with Roche to provide a streamlined app calibrated to give you the very best results from Kapa HyperPrep data. One-click data processing with automated QC, no bioinformatics expertise required.
Invitrogen Collibri RNA Library Prep kits capture a faithful representation of virtually all types of RNA using full-length or 3’-end sequencing. Genialis empowers analysis and interpretation of these rich data.
Analyze multi-omics NGS data for contextual,
Get a 360º view of complex disease-drug relationships— from molecular drivers to druggable targets and indicators of drug response— with a single platform. Genialis supports the analysis of high throughput genomic, transcriptomic, and epigenomic sequencing data to accelerate your drug discovery efforts.
Standardize analyses, regardless of source or sequencing method
Ensure apples-to-apples interpretation of your NGS data, no matter if it’s public, proprietary, historic, or newly-acquired. With validated informatics pipelines, and built-in normalization and QC/QA workflows, you can confidently, consistently interpret your data.
Aggregate disparate data within a unified management framework
Genialis enables hassle-free data curation, reducing manual data management from weeks to hours. The platform enforces a standardized nomenclature and annotation taxonomy, so all your data can be analyzed and interpreted in the appropriate context.
Initiate comprehensive meta-analyses and data mining projects
Reveal previously unseen patterns across large, heterogeneous datasets to more accurately predict targets and biomarkers. Our team of data scientists will help you define a rigorous data mining program and integrate your data using machine learning or other deep analytical approaches.