Submitted by Neil on Mon, 09/21/2009 - 17:32.
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Solutions for Research Informatics
Lab Informatics, Scientific Data Management and Data Analysis
Life science research is complex. Research teams needs to juggle communications, samples, activities and results in the mist of continually changing, data rich, high throughput instrumentation and technology.
Perfect for Genomics and Proteomics Core and Research labs, our solution manages data, lab work, informatics data processing, and results. The information becomes available for review, decision-making, collaboration and sharing both internally and externally.
Next Gen Sequencing Solutions
We partner with leading vendors to provide seamless integrations to their NGS platforms.
Benefits to Core Facilities and Research Centers
Excellent return on investment with a system that evolves as technologies change
Faster access to records with comprehensive sample traceability
Improved lab operations and quality control
Purpose built integrations and capabilities for genomics and proteomics
Faster results with integrations to data analysis tools for omics technologies
Better communications with customers and colleagues
Resources
Proteomics and bioinformatics
Enabling efficient data flow
Enabling next gen sequencing
A lab informatics platform
"We required a highly flexible solution that can be customized for a wide range of workflows and technologies. The GenoLogics informatics solution can be customized at the lab level, while allowing us to analyze data across sciences and labs."
Giles Day, Head of BBC Informatics at Pfizer
Solutions for:
Ideal for core and research labs, our solutions provide lab informatics (LIMS), scientific data management and integrated data analysis capabilities that meet the needs of:
Lab Managers
Principal Investigators
Research Scientists
Bioinformaticians
Directors of Research
IT Administrators
Lab Technician
Directors of Informatics
Enabling Translational Research
To realize the full promise of personalized medicine, researchers and clinicians need access to biomedical information and molecular information. The seamless integration of these two data types for analysis is in essence the concept of conducting translational research.