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pubmed:abstractText |
Improvements in protein sequence annotation and an increase in the number of annotated protein databases has fueled development of an increasing number of software tools to predict secreted proteins. Six software programs capable of high throughput and employing a wide range of prediction methods, SignalP 3.0, SignalP 2.0, TargetP 1.01, PrediSi, Phobius, and ProtComp 6.0, are evaluated.
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pubmed:affiliation |
Department of Laboratory Medicine and Pathology, University of Minnesota, Mayo Mail Code 609, Minneapolis, MN 55455, USA. klee0025@tc.umn.edu
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.,
Evaluation Studies,
Research Support, N.I.H., Extramural
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