NDLI: Locating Peaks in Proteomic Mass Spectral Data Using the Morel-Helmholtz Principle

Content Provider	IEEE Xplore Digital Library
Author	Fergurson, E.W. Flenner, A. Hewer, G. Murata, Y. Ooi, G.T. Pai, S.H. Schwartzwald, D. Van Nevel, A.
Copyright Year	2006
Description	Author affiliation: Image & Signal Process., Naval Air Warface Center, China Lake, CA (Fergurson, E.W.)
Abstract	Proteomics is a rapidly emerging field of research that will help identify and characterize the complex proteins that are responsible for the function of complex biological systems. For detection and identification of separated components, mass spectrometry is evolving to be the method-of-choice because of its high sensitivity and its ability to characterize the individual components. Analysis of biological sample will typically generate a protein mass fingerprint of the various constitutive components, with the component mass expressed as mass-to-charge (m/z) ratios and the relative abundance of each component as the peak height. However, reliably finding protein peaks with small relative abundance has been a difficult signal processing task, and many of the currently used techniques require many arbitrary parameters. This paper investigates the application of the Morel-Helmholtz principle, a single parameter method, to mass spectrometry signal processing. A comparison of the Morel-Helmholtz peak finding method with a thresholding method demonstrates that using the false alarm rate of one per interval will detect peaks that can optimally classify mass spectrometry data equally well as a well chosen threshold
Starting Page	217
Ending Page	221
File Size	215738
Page Count	5
File Format	PDF
ISBN	0780397533
DOI	10.1109/ISSPIT.2006.270800
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteomics Proteins Peptides Mass spectroscopy Data mining Biomedical signal processing Diseases Data analysis Sun Lakes Bioinformatics Peak Detection Disease Diagnostics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in