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High-throughput, MS-based proteomics studies are generating very large volumes of biologically relevant data. Given the central role of proteomics in emerging fields such as system/synthetic biology and biomarker discovery, the amount of proteomic data is expected to grow at unprecedented rates over the next decades. At the moment, there is pressing need for high-performance computational solutions to accelerate the analysis and interpretation of this data.Performance gains achieved by grid com

First Author: Hubbard, Simon; Jones, Andy
Attributed to:  FPGA supercomputing technology for high-throughput identification and quantitation in proteomics funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Type: Book Chapter

Book Title: Proteome Bioinformatics (2009)

Page Reference: 163-185

ISBN: 978-1-60761-443-2