Hardware accelerated data processing pipeline for proteomics
Lead Research Organisation:
University of Sheffield
Department Name: Automatic Control and Systems Eng
Abstract
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Organisations
People |
ORCID iD |
| Daniel Coca (Principal Investigator) |
Publications
Coca D
(2010)
A high-performance reconfigurable computing solution for Peptide mass fingerprinting.
in Methods in molecular biology (Clifton, N.J.)
Hubbard, Simon; Jones, Andy
(2009)
Proteome Bioinformatics
| Description | Developed a web-based user software interface to enable fast processing (on specialized hardware architecture-FPGA) of MALDI-TOF mass spectrometry data for protein mass fingerprinting. |
| Exploitation Route | Can be used to perform analysis of large MS data sets efficently. |
| Sectors | Aerospace Defence and Marine Healthcare Pharmaceuticals and Medical Biotechnology |
| Description | This work has informed the development of new approaches for analyzing raw mass spectrometry data by Shimadzu. |
| First Year Of Impact | 2011 |
| Sector | Pharmaceuticals and Medical Biotechnology |
| Impact Types | Economic |
| Description | TDRI |
| Amount | £356,480 (GBP) |
| Funding ID | BB/F004893/1 |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2008 |
| End | 02/2012 |
| Title | Peptide mass fingerprinting server |
| Description | PC incorporating FPGA co-processing board for peptide mass fingerprinting. Web-based distributed software application which allows users to submit PMF data to be processed on the server and retrieve the results. |
| Type Of Technology | New/Improved Technique/Technology |
| Year Produced | 2008 |
| Impact | No actual Impacts realised to date |