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Bioinformatics Require Better Data Sharing and Discovery

By   /  August 11, 2015  /  No Comments

healthcare data x300by Angela Guess

Lindsay Hock recently wrote for R&D Magazine, “The changing landscape of research today is forcing the bioinformatics community to seek a new level of data sharing and collaboration only made possible with new platforms. Data volumes are growing due to larger population studies, deeper sequencing coverage to detect variants with greater sensitivity and new instrumentation systems that run simultaneously and increase the data output of sequencing cores. Data integration from internal and external sources and data management are enabling better use of available data and the elimination of what vendors call ‘dark data’—’data that was collected once, then lost, so that it can’t be re-used for decision-making,’ says Moran. Through scientific collaboration, scientific content federation and semantic search, and virtual modeling and predictive simulations, pharmaceutical researchers can quickly and more efficiently conduct drug discovery strategies for delivering new, better targeted therapeutic solutions.”

Hock goes on, “Dassault Systemes BIOVIA, in collaboration with the BioIntelligence Consortium, has developed a comprehensive suite of BioPLM (product lifecycle management) solutions. These solutions, according to Moran, provide a scientifically intelligent environment in which researchers can filter and combine complex data, browse and visualize information from multiple data sources in real time and perform extensive scientific calculations and advanced analytics to improve the efficiency and effectiveness of drug discovery and development. Other software tools, such as Agilent’s GeneSpring, also handle the complexity of data behind the scenes by importing data in various formats, managing it internally and offering a common interface for multiple-omics workflows that are designed for ease-of-use.”

Read more here.

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