23 ноября 2011 года в 16:00 в конференц-зале Института биомедицинской химии РАМН (Москва, Погодинская ул., 10, 1-й корп., 2-й этаж) состоится доклад «Data at Work» Евгения Колкера (Eugene Kolker, Head, Predictive Analytics, Seattle Children’s Hospital, Seattle, WA, USA).

Abstract
Access to high-quality data drives our ability to ask questions and find answers.  Our lab has a number of projects based on this premise. Proteomics data from experimental research in diabetes has enabled the discovery of two promising beta cell regulators, Netrin and Sem3a.  To better understand mass spectrometry protein data, we have built SPIRE, a web-based, freely-available proteomics analysis pipeline.  Based on SPIRE, we are currently developing MOPED, a human and model organisms’ protein expression database, to provide a comprehensive summary of publicly available proteomics data. With MOPED, users can browse, sort, query, visualize, and compare their own data against existing studies. Vast volumes of scientific data brought with it tremendous research opportunities never available before. To leverage these vast data resources, the life sciences community has been compelled to work across diverse domains and engage with computer and data experts.  The Data-Enabled Life Sciences Alliance (DELSA) was recently founded to become the leading voice and coordinating framework to accelerate data-enabled life sciences research. Finally, we work on improving the management and effectiveness of healthcare organizations by mining the extensive data resources.