Business Trends In Proteomics

Systems biology is a comprehensive quantitative analysis in which all the components of the biological system interact over a period of time. The Systems biology can be elaborated as “Integrative Biology” with the goal of being able to predict de novo biological outcomes. The term Epigenetics refers to the study of changes in the regulation of gene activity and expression that are not very much dependent on a DNA sequence. The Major difference between data generated in epigenomics study and expression study is the utility of the information of probe location in the genome For the Rms deviation of bond length & bond angle Deviation of bond lengths & angles. Ultimately all based on the geometry of small molecules. A survey taken by bcc research shows that The global proteomics market was valued at nearly $5.1 billion in 2014 and is growing at a compound annual growth rate (CAGR) of 18.0% to reach a forecast value of $11.6 billion by 2019.

Relevant Conferences:

7th International Conference on Proteomics October 24-26, 2016 Rome, Italy; 2nd International Conference on Genetic and Protein Engineering November 14-16, 2016 Atlanta, Georgia, USA; International Conference on Amino Acids and Proteins December 08-09, 2016 Dallas, Texas, USA; 7th International Conference on Metabolomics November 14-16, 2016 Orlando, Florida, USA; 8th International Conference on Proteomics March 20-22, 2017 Philadelphia, Pennsylvania, USA; XI National Conference of the Italian Proteomic Association May 16-19, 2016 Perugia, Italy; HUPO 15th Annual World Congress September 18-22, 2016 Taipei, Taiwan; X Annual Congress of the European Proteomics Association June 21-25, 2016 Istanbul, Turkey; US HUPO 12th Annual Conference March 13-16, 2016 Boston, Massachusetts; HUPO 16th Annual World Congress September 17-20, 2017 Dublin, Ireland.

Microfluidics-based biochips are soon expected to revolutionize clinical diagnosis, deoxyribonucleic acid (DNA) sequencing, and other laboratory procedures involving molecular biology. Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy. Expression proteomics includes the study of the dysregulated proteins as a function of stimulation or patient condition. The patient condition depends on the disease or specific drugs related to any disease. The market for expression proteomics is segmented into four major categories, on the basis of applications, by expression system, by products and by the End users.

  • Markets trends in biochips and microfluidic chips
  • Big data and corporate evolution
  • Expression proteomics and bioinformatics market

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