I’ve recently contributed guest commentaries to two industry publications: Bio-IT World and Drug Discovery News. Following are brief summaries of the commentaries, with links to the full text.
Software Standards in Next-Gen Genomics
Standards are emerging in next generation sequencing (NGS), thanks mainly to the critical investments labs have made in instrumentation. Sequencing proceeds faster and produces higher quality results when labs are able to consistently and rapidly prepare samples for sequencing, monitor sequencing runs in real time, and deliver appropriately formatted data for analysis. Each of these capabilities can be supported with preconfigured workflows in a Laboratory Information Management System (LIMS) built to support the best practices associated with running a lab’s preferred instrumentation.
Data management that speeds—rather than impedes—advanced DNA sequencing applications
The data volumes produced by modern sequencing applications require new approaches to data management that center on the workflows prescribed by sequencers and the specific needs of two different types of users: lab technicians and lab directors. From my perspective, how labs choose to manage their data may very well determine which have the most success in applying DNA sequencing to the development of advanced molecular diagnostics and therapeutics.
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