Product Description
Power of supercomputer on a desktop
Private cloud bringing the power of a supercomputer on desktop. Parallel and Distributed algorithms for faster and efficient analysis from start to finish. Easy to store, process, manage data and results in a commercial scale compute and storage center.
Intuitive genome analysis apps
Optimised and interactive apps for diverse sequencing applications. Checkpoint-restart with custom “Reanalyze” options to increase productivity and accuracy. Cohort level analysis options for multiple samples.
Dynamic visualisation features
Dynamic visualisation and result representation features. Click-on navigation to relevant reference databases from result windows for advanced data mining. Integrated genome browser for result visualization.
Supports 3rd party tools
Scalable platform allowing easy integration of custom and 3rd party tools. iOMICS Enterprise version can be customised to suit specific analysis needs by integrating in-house or 3rd party tools, software pipelines or databases.
Features
Genetic Knowledge Base: Omnia
High quality proprietary knowledge base with curated Omics records for biomarker annotation. Contains data collected from multiple data sources, capturing disease related variants, gene expression, epigenomic, protein-protein interaction, metabolic, gene ontology and pathway information. Currently Omnia contains over 100,000 high-quality disease mutations.
Analytics for Knowledge Discovery
Integrates multi scale Multi-Omics data, along with Omnia data, to understand the disease etiology, right from the genomic to the phenotype scale. It can be used to perform advanced disease analytics such as phenotype modeling, drug target identification and validation, and biomarker identification for disease prediction, prognosis, and Pharmacogenomics. It aids in reducing cost, improving turn around time, and a better success rate of drug discovery.
Best-in-class Cloud Technology
It is easy to analyze terabytes of genomics datasets without the need for in-house high performance computing hardware systems. Cloud implementation enables improved accessibility, automatic software updates, convenient pay-per use model, easy data sharing and remote accessibility.
Multi-Omics Data Analysis
Individual datasets from different technologies such as targeted gene seq, Whole EXOME-Seq, DNA-Seq, RNA-Seq, ChIP-Seq and Microarrays can be analyzed. It also supports the integration of Multi-Omics datasets to discover the genetic flow of information associated with the phenotypes.
Experiment Type
It supports multiple experiment types such as a tumor with matched normal pairs, family based analysis and case – control studies.
Applications
Multiple genome analysis apps to choose from
NGS Apps
- EXOME-Seq
- DNA-Seq
- RNA-Seq
- miRNA-Seq
- ChIP-Seq
- HLAScape
- RAD-Seq
- Metagenome
Integrative Biology Apps
- ChIP-RNA
- DNA-RNA
- miRNA-RNA
Microarray Apps
- ChIP-chip
- Gene-Expression
- miRNA-Expression
Functional Genomics Apps
- Functional Enrichment
- QTL
Drug Discovery and Development Apps
- Drug Target Identification and Validation
- Toxicity Analysis
- Patient Stratification
