Téléchargez le livre : High-Performance Algorithms for Mass Spectrometry-Based Omics

High-Performance Algorithms for Mass Spectrometry-Based Omics

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Éditeur :

Springer


Collection :

Computational Biology

Paru le : 2022-09-02

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Description

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.
Pages
140 pages
Collection
Computational Biology
Parution
2022-09-02
Marque
Springer
EAN papier
9783031019593
EAN PDF
9783031019609
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
3553 Ko
Prix
94,94 €
EAN EPUB
9783031019609
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
14060 Ko
Prix
94,94 €

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