Interactive feature finding in liquid chromatography mass spectrometry data.

Abstract:

:We propose a method for finding features in liquid chromatography mass spectrometry data that is based on the isotopic pattern of peaks. Our interactive approach to feature finding is carried out across many samples simultaneously and aligns features concurrently. Our scale-independent approach prioritises potential features and is easily adaptable to look for features of a particular mass and charge, paired features in isotopically labeled samples, or differentially expressed features. We demonstrate this by identifying features from normal human adult plasma. We highlight properties of plasma data that illustrate the need to visually check the quality of features found prior to further statistical analysis.

journal_name

J Proteome Res

authors

Clifford D,Buckley M,Fung KY,Cosgrove L

doi

10.1021/pr060226m

subject

Has Abstract

pub_date

2006-11-01 00:00:00

pages

3179-85

issue

11

eissn

1535-3893

issn

1535-3907

journal_volume

5

pub_type

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