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19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)
Compression of LC/MS Proteomic Data
Salt Lake City, Utah
June 22-June 23
ISBN: 0-7695-2517-1
ASCII Text
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Agnieszka C. Miguel, John F. Keane, Jeffrey Whiteaker, Heidi Zhang, Amanda Paulovich, "Compression of LC/MS Proteomic Data," Computer-Based Medical Systems, IEEE Symposium on, pp. 925-930, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006.
 
 
BibTex
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@article{ 10.1109/CBMS.2006.2,
author = {Agnieszka C. Miguel and John F. Keane and Jeffrey Whiteaker and Heidi Zhang and Amanda Paulovich},
title = {Compression of LC/MS Proteomic Data},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2006},
issn = {1063-7125},
pages = {925-930},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.2},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Compression of LC/MS Proteomic Data
SN - 1063-7125
SP925
EP930
A1 - Agnieszka C. Miguel,
A1 - John F. Keane,
A1 - Jeffrey Whiteaker,
A1 - Heidi Zhang,
A1 - Amanda Paulovich,
PY - 2006
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Agnieszka C. Miguel, Seattle University, USA
John F. Keane, Fred Hutchinson Cancer Research Center, USA
Jeffrey Whiteaker, Fred Hutchinson Cancer Research Center, USA
Heidi Zhang, Fred Hutchinson Cancer Research Center, USA
Amanda Paulovich, Fred Hutchinson Cancer Research Center, USA
The unrelenting growth ofmass spectrometry (MS) based proteomic data to gigabytes per sample and terabytes per experiment motivates this investigation into compression methods suited to MS signal sources. The data for this study was derived from peptides of hand-mixed protein samples passed through a high performance liquid chromatography system (HPLC) and an electrospray ionization time-of-flight (ESI-TOF) mass spectrometer. Several lossless data compression methods were applied and yielded up to a 25:1 compression ratio relative to the original files containing base64 encoding of the data.
Citation:
Agnieszka C. Miguel, John F. Keane, Jeffrey Whiteaker, Heidi Zhang, Amanda Paulovich, "Compression of LC/MS Proteomic Data," cbms, pp.925-930, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006
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