A new peak picking algorithm for LC-MS: Analysis of protein mixture digests

V. P. Andreev; T. Rejtar; H. Chen; E. V. Moskovets; B. L. Karger

A new peak picking algorithm for LC-MS: Analysis of protein mixture digests

V. P. Andreev, T. Rejtar, H. Chen, E. V. Moskovets, B. L. Karger

Psychiatry & Behavioral Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

An algorithm on the fundamental advantages of LC-MS involving high-resolution separation and archiving of data was discussed. A Peak-picking software based on the algorithm was developed. The software was successfully tested in the analysis of a tryptic digest of a mixture of 9 proteins. The advantage of this correlation function approach lie on it's ability to calculate more precisely peak centroids and quantitate the amount of corresponding peptide by using a priori information about the shapes of chromatographic and MS peaks. The algorithm can be used for LC LC(CE)-MALDI-MS in addition to LC (CE)-ESI-MS data.

Original language	English
Title of host publication	Proceedings 50th ASMS Conference on Mass Spectrometry and Allied Topics
Pages	757-758
Number of pages	2
State	Published - Dec 1 2002
Event	Proceedings - 50th ASMS Conference on Mass Spectrometry and Allied Topics - Orlando, FL, United States Duration: Jun 2 2002 → Jun 6 2002

Other

Other	Proceedings - 50th ASMS Conference on Mass Spectrometry and Allied Topics
Country	United States
City	Orlando, FL
Period	6/2/02 → 6/6/02

ASJC Scopus subject areas

Spectroscopy

Fingerprint Dive into the research topics of 'A new peak picking algorithm for LC-MS: Analysis of protein mixture digests'. Together they form a unique fingerprint.

Cite this

@inproceedings{c6d688d325b74dcab5db380260c3bb34,

title = "A new peak picking algorithm for LC-MS: Analysis of protein mixture digests",

abstract = "An algorithm on the fundamental advantages of LC-MS involving high-resolution separation and archiving of data was discussed. A Peak-picking software based on the algorithm was developed. The software was successfully tested in the analysis of a tryptic digest of a mixture of 9 proteins. The advantage of this correlation function approach lie on it's ability to calculate more precisely peak centroids and quantitate the amount of corresponding peptide by using a priori information about the shapes of chromatographic and MS peaks. The algorithm can be used for LC LC(CE)-MALDI-MS in addition to LC (CE)-ESI-MS data.",

author = "Andreev, {V. P.} and T. Rejtar and H. Chen and Moskovets, {E. V.} and Karger, {B. L.}",

year = "2002",

month = dec,

day = "1",

language = "English",

pages = "757--758",

booktitle = "Proceedings 50th ASMS Conference on Mass Spectrometry and Allied Topics",

note = "null ; Conference date: 02-06-2002 Through 06-06-2002",

}

TY - GEN

T1 - A new peak picking algorithm for LC-MS

AU - Andreev, V. P.

AU - Rejtar, T.

AU - Chen, H.

AU - Moskovets, E. V.

AU - Karger, B. L.

PY - 2002/12/1

Y1 - 2002/12/1

N2 - An algorithm on the fundamental advantages of LC-MS involving high-resolution separation and archiving of data was discussed. A Peak-picking software based on the algorithm was developed. The software was successfully tested in the analysis of a tryptic digest of a mixture of 9 proteins. The advantage of this correlation function approach lie on it's ability to calculate more precisely peak centroids and quantitate the amount of corresponding peptide by using a priori information about the shapes of chromatographic and MS peaks. The algorithm can be used for LC LC(CE)-MALDI-MS in addition to LC (CE)-ESI-MS data.

AB - An algorithm on the fundamental advantages of LC-MS involving high-resolution separation and archiving of data was discussed. A Peak-picking software based on the algorithm was developed. The software was successfully tested in the analysis of a tryptic digest of a mixture of 9 proteins. The advantage of this correlation function approach lie on it's ability to calculate more precisely peak centroids and quantitate the amount of corresponding peptide by using a priori information about the shapes of chromatographic and MS peaks. The algorithm can be used for LC LC(CE)-MALDI-MS in addition to LC (CE)-ESI-MS data.

UR - http://www.scopus.com/inward/record.url?scp=2442655451&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=2442655451&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:2442655451

SP - 757

EP - 758

BT - Proceedings 50th ASMS Conference on Mass Spectrometry and Allied Topics

Y2 - 2 June 2002 through 6 June 2002

ER -