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To date, processing of high-throughput Mass Spectrometry (MS) data is accomplished using serial algorithms. Developing new methods to process MS data is an active area of research but there is no single strategy that focuses on scalability of MS based methods. Mass spectrometry is a diverse and versatile technology for high-throughput functional characterization of proteins, small molecules and metabolites in complex biological mixtures. In the recent years the technology has rapidly evolved and is now capable of generating increasingly large (multiple tera-bytes per experiment) and complex (multiple species/microbiome/high-dimensional) data sets. This rapid advance in MS instrumentation must be matched by equally fast and rapid evolution of scalable methods developed for analysis of these complex data sets. Ideally, the new methods should leverage the rich heterogeneous computational resources available in a ubiquitous fashion in the form of multicore, manycore, CPU-GPU, CPU-FPGA, and IntelPhi architectures. The absence of these high-performance computing algorithms now hinders scientific advancements for mass spectrometry research. In this book we illustrate the need for high-performance computing algorithms for MS based proteomics, and proteogenomics and showcase our progress in developing these high-performance algorithms.
Research Paper (undergraduate) from the year 2016 in the subject Engineering - Power Engineering, grade: 67/100, University of Leicester, course: Electrical & Electronics, language: English, abstract: It is believed that electric vehicles will be able to go toe-to-toe, or wheel to wheel, with internal combustion engine vehicles in as little as eight years. Some of the obstacles this industry could face is the battery lifespan and range of the vehicle. Currently, Lithium-ion batteries provide the best energy density and a longer lifespan for energy storage, however these batteries require a complex battery management system to help operate at their optimum level. This project dwells in to a basic battery management system to be used in a formula student electric car. The battery management system is custom built, making sure it adheres to the rules and regulations provided by the governing body of IMechE Formula Student. After the project completion, the system will become an integrated part of the race car which will compete at formula student UK. The possibility of it becoming the first ever British electric race car to pass scrutiny is very likely.
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