📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

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