Title :
Compression of LC/MS Proteomic Data
Author :
Miguel, Agnieszka C. ; Keane, John F. ; Whiteaker, J. ; Zhang, Jeffrey WhiteakerHeidi ; Paulovich, Amanda
Author_Institution :
Dept. of Electr. & Comput. Eng., Seattle Univ., WA
Abstract :
The unrelenting growth of mass 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
Keywords :
biology computing; chromatography; data compression; ionisation; mass spectroscopic chemical analysis; molecular biophysics; proteins; time of flight mass spectra; HPLC; LC/MS proteomic data; base64 encoding; compression methods; electrospray ionization time-of-flight mass spectrometer; hand-mixed protein samples; high performance liquid chromatography; lossless data compression methods; mass spectrometry; peptides; Cancer; Data analysis; Data compression; Instruments; Ionization; Mass spectroscopy; Peptides; Performance analysis; Proteins; Proteomics;
Conference_Titel :
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2517-1
DOI :
10.1109/CBMS.2006.2
