Location of Repository

SLoMo: automated site localization of modifications from ETD/ECD Mass Spectra

By Christopher M Bailey, Steve M. M. Sweet, Debbie L. Cunningham, Martin Zeller, John K Heath and Helen J. Cooper

Abstract

Recently, software has become available to automate localization of phosphorylation sites from CID data and to assign associated confidence scores. We present an algorithm, SLoMo (Site Localization of Modifications), which extends this capability to ETD/ECD mass spectra. Furthermore, SLoMo caters for both high and low resolution data and allows for site-localization of any UniMod post-translational modification. SLoMo accepts input data from a variety of formats (e.g., Sequest, OMSSA). We validate SLoMo with high and low resolution ETD, ECD, and CID dat

Topics: QR Microbiology
Year: 2009
DOI identifier: 10.1021/pr800917p
OAI identifier: oai:eprints.bham.ac.uk:339

Suggested articles

Preview


To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.