High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine

We are happy to announce the availability of our new book: Hasso Plattner, Matthieu-P. Schapranow: High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine, In-Memory Data Management Research, ISBN: 978-3-319-03034-0, 2014.

From the cover:

Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include – amongst others – modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.

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About Matthieu-P. Schapranow

Dr.-Ing. Matthieu-P. Schapranow is Leader of the Working Group "In-Memory Computing for Digital Health" and Scientific Manager Digital Health Innovations at the Hasso Plattner Institute (HPI). He is a valued member of the Platform Learning Systems and contributes to the Federal Association for Information Technology, Telecommunications and New Media (BITKOM) and the Global Alliance for Genomics and Health. Dr.-Ing. Schapranow holds a PhD as well as the MSc and BSc degrees in Software Engineering. He was named as one of the top Elite Researchers in Life Sciences in 2016 and one of Germany's Top 10 Junior Scientists in 2015. Furthermore, he was honored with the Personalized Medicine Convention Award 2015, the European Life Science Award in 2014, and the Innovation Award of the German Capital Region in 2012. Together with Prof. Dr. Plattner, he published the textbook "High-Performance In-Memory Genome Data Analysis" in 2013.