title: SLoMo: automated site localization of modifications from ETD/ECD mass spectra.
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 data.
authors.affiliation: School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.
authors.forename: Christopher M
authors.initials: CM
authors.lastname: Bailey
authors.forename: Steve M M
authors.initials: SM
authors.lastname: Sweet
authors.forename: Debbie L
authors.initials: DL
authors.lastname: Cunningham
authors.forename: Martin
authors.initials: M
authors.lastname: Zeller
authors.forename: John K
authors.initials: JK
authors.lastname: Heath
authors.forename: Helen J
authors.initials: HJ
authors.lastname: Cooper
mesh_terms: D000465:Algorithms; D011499:Protein Processing, Post-Translational / Q000502:physiology*; D020543:Proteome / Q000378:metabolism*; D020539:Sequence Analysis, Protein
chemical_list: D020543:Proteome