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SAN DIEGO - Scientist.com, the life science industry’s leading online marketplace for outsourced research services, announced today that it has assembled a panel of industry experts to discuss the use of bioinformatics in the life sciences. Set for September 19, 2018, at 11:00am EDT, the webinar will focus on the impact of novel bioinformatics technologies in the life sciences and explore topics that include how bioinformatics can effectively manage large datasets created by researchers in the life sciences, incorporating the power of machine learning in the life sciences and how bioinformatics can potentially advance drug discovery.
“I am excited to serve on such a distinguished panel focused on the role of bioinformatics in advancing biomedical research,” said Dan Ryder, PhD, Director of US Operations at BISC Global. “The data currently being produced by researchers in life sciences is quite substantial. Bioinformatics does not only help in managing, integrating and interpreting that data but is an integral part of the planning stages of any research project.”
The panel consists of experts in data analytics, biochemistry and computational biology and includes Jean Claude Zenklusen, PhD, Director of The Cancer Genome Atlas (TCGA); Dan Ryder, PhD, Director of US Operations at BISC Global; Andrew Brown, PhD, Principal Bioinformatic Scientist at Arrayo; and Manuel Duval, PhD, Bioinformatician at Scientist.com.
The panelists will cover topics such as the role bioinformatics can play in capturing data produced throughout the different phases of the drug discovery process, current best practices in bioinformatics with regard to reproducibility and how open-source data mining in bioinformatics can be used in the life sciences.
Go here for more information or to register for the complimentary webinar, Applying Bioinformatics to Biomedical Research: Best Practices and Trends.
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Today, Scientist.com supports more than 130 life science organizations, including 24 of the world's top 30 pharmaceutical companies, helping teams reduce operational complexity, accelerate timelines, and bring innovations to patients faster. Our mission is to make it possible to cure all human disease by 2050.