GTCbio is proud to present the 3rd Metabolomics – Advances & Applications in Human Disease Conference, which will be part of The Genomics & Big Data Summit and takes place May 25-26, 2016 in Boston, MA.
There is still significant human variability in metabolite identification for targets and pathways. These challenges affect the advancement in biomarker development, mass spectrometry-cased imaging, big data, and the application of metabolomics for drug discovery and development.
Big data analyticsis a method to analyse large data amounts. This is used in order to uncover any hidden patterns and correlations. It is also helpful for companies to get insights and to be able to make proper decisions to run the business. Basically it helps organisations to move from a knowing to a learning entity. Businesses today want to focus more on being driven by data which lets them function more objectively. This is why they are embracing the power of technology and data.
Be it any industry Clicking Hereyou will see how some supplement industries that sell diabetic products too have made use of the big data technologies. The concept of big data is not new. It has been there for many years. Businesses earlier used to apply analytics on the data that they could collect. This helped them to gain an insight about their business and also let them to uncover trends in the market. Earlier the method used was to capture numbers on a spread sheet and then examine the numbers manually.
Big data analytics however is done using software of an advanced level. It lets the business to reduce the time that it spends on analysis and it also helps in quick decision making. Basically the modern big data analytics system helps to carry out the procedures quickly and efficiently. The ability to work fast and to be agile gives the business a competitive advantage. It also lets the business to lower their costs when they make use of the big data software.
Join us for an event that presents new research and offers networking opportunities with the researchers and scientists who are working on developing clinical assays, connecting the metabolome and the genome, and establishing common quality standards for experimental data
I. Advances in Metabolite Markers – Discovery and Validation
II. Imaging and Computational Approaches to Assessing the Metabolome
III. Metabolite Identification – Targets and Pathways
IV. Bioinformatics for Metabolomics: Current Status and Future Directions
V. Translating Metabolomics Discoveries in Clinical Practice
We hope to see you there!
Conference Dates: May 25-26, 2016