The real value of biospecimens is the data they generate through techniques like genomic and proteomic analysis. The extensive amounts of data, results and reports need to be collated from a variety of these collaborating partners. Adding to the complexity, the timely and accurate flow of information is essential. In today's organization, the silos of independent research have broken down and cross-disciplinary collaboration with peers is an imperative—across university hospitals, pharma and biotech companies, contract research organizations and biobanks—we all need to work together. Our comprehensive informatics solutions for biobanks and biorepositories can foster the collaboration and sharing that are essential to advance science and make life saving discoveries.
Whether you’re managing the inventory of a freezer or an entire biorepository, Thermo Fisher Scientific has a solution to your biobank needs. Discover our virtual biobank, and see how we can help you with sample collection, preparation, storage, analysis and transport.
In comparison with traditional immunological methods, mass spectrometric proteome analysis offers a more efficient high-volume, multi-analyte method for biomarker discovery and identification of new therapeutic targets.
UK Biobank chose Thermo Scientific™ Nautilus LIMS™ to track, store, manage and report on the biological data of 500,000 people as part of one of the largest medical research projects ever conducted. UK Biobank is a major medical research initiative based in Manchester, UK. The company's goal is to build the world's most detailed information resource that can support a diverse range of research aimed at improving the prevention, diagnosis and treatment of a wide range of serious and life-threatening illnesses and to promote health throughout society.
The Miami Project to Cure Paralysis has a dedicated laboratory devoted to high-content screening (HCS) of neurons. In 2008, the laboratory adopted a laboratory information management system (LIMS) as part of its continuous focus on data management.
Is the technology to collect the data needed for cohort studies already available, but we simply haven’t developed a process to put it to use?