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