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Clinical Applications for Single Cell Analysis Remain a Heavily Uncontested Market Place
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Single cell genomic and proteomics tools have gained significant importance in the past 2 years. The year 2018 was particularly very active with a lot of platforms made available by both established life sciences tools companies and start-ups. 10X Genomics and Fluidigm have demonstrated the potential for high-throughput single cell applications. There is a constant quest for delivering the lowest cost per cell which is keeping the innovation curve high. Single cell technology developers continue to attract funds from venture capitalists, making it one of the attractive areas to invest in the life science industry. While advancements in the hardware side are addressing throughput and low cost per cell, complexity in the data analysis remains unaddressed, which leaves opportunities to develop analytical tools and bioinformatics pipeline for single cell analysis data. From an application standpoint, while most of the current applications for single cell analysis are restricted to translational research, biopharma applications present the second largest opportunity. Single cell analysis for clinical applications is a long-term opportunity and the company that focuses more on addressing this application will clearly gain the first-mover advantage.This study analysis the global single cell genomic and proteomic technologies and workflows and identifies key application areas and concepts that can help companies steer their way toward running a successful business. Documented insights from single cell biologists and researchers have been studied to identify current and future applications across translational, biopharma, clinical, and basic research. The study covers an assessment of the market across workflows, technologies, geographic regions and applications. These assessments have been developed after carefully studying 23 companies that are currently offering and developing solutions for single cell isolation and analytical purposes.
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Author: Divyaa Ravishankar
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