Today’s life sciences research enterprises use more samples in ever more complex experiments, generating growing volumes of data. A robust informatics solution is crucial in order to improve operational efficiency and enhance meaningful results.

The GenoLogics OMIX platform provides a highly configurable life sciences solution that is suitable for cross-science and multiple lab implementations. Its ability to support multiple science and technology domains enables automated data marshalling for integrated analysis, systems biology and translational research initiatives.

• The built-in easy to use Lab Configuration Engine allows you to tailor the solution to fit your lab, sciences and technologies
• The Automated Informatics Framework provides automatic data capture from instruments and other systems and supports results parsing, contextual data integration and bioinformatics pipelining
• The Embedded Query Engine makes accessing results data efficient and effective for researchers, including easy exporting to Excel or other packages
• To further accelerate knowledge, the Adaptive Reporting Framework provides interactive reporting capabilities to query data from multiple sources and provide a holistic view of the data
• The platform supports the compliance of many government regulations, including 21 CFR Part 11, 21 CFR Part 58 and HIPAA privacy laws
• LabLink’s secure online communication channel allows you to simplify collaborations and streamline interactions with customers and researchers, optimize customer service levels, simplify sample submission, speed results reporting and enable tracking

The GenoLogics OMIX platform facilitates comprehensive implementations across Multiple Laboratory and science environments by correctly segmenting laboratory and project data and providing strong security and data archiving mechanisms to facilitate integrated analytics.

GenoLogics’ comprehensive solution for Research Informatics delivers what no generic LIMS can, with science purposed modules for genomics and proteomics research.