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High-Performance Algorithms for Mass Spectrometry-Based Omics / by Fahad Saeed, Muhammad Haseeb
(Computational Biology. ISSN:26622432)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
大きさ	XVI, 140 p. 53 illus., 49 illus. in color : online resource
著者標目	*Saeed, Fahad author Haseeb, Muhammad author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0004270	Computer Scinece R0 2005-6,2022-3				9783031019609

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一般注記	1. Need for High Performance Computing for Big MS Data -- 2. Introduction to Mass Spectrometry Data -- 3. A Review of Spectral Pre-processing -- 4. MS-REDUCE: An Ultra Data Reduction Algorithm -- 5. GPU-DAEMON: A Template to Support Development of GPU Algorithms -- 6. GPU-ArraySort: GPU Based Array Sorting Technique -- 7. G-MSR: A GPU Based Dimensionality Reduction Algorithm -- 8. Simulator Driven Proteomics -- 9. Future and Proposed Work 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 HTTP:URL=https://doi.org/10.1007/978-3-031-01960-9
件　名	LCSH:Bioinformatics LCSH:Mass spectroscopy LCSH:Computer science FREE:Computational and Systems Biology FREE:Mass Spectrometry FREE:Theory and Algorithms for Application Domains FREE:Computer Science
分　類	LCC:QH324.2-324.25 DC23:570.285 DC23:570.113
書誌ID	EB00003658
ISBN	9783031019609