LocateP: Genome-scale subcellular-location predictor for bacterial proteins

@article{Zhou2007LocatePGS,
  title={LocateP: Genome-scale subcellular-location predictor for bacterial proteins},
  author={Miaomiao Zhou and Jos Boekhorst and Christof Francke and Roland J. Siezen},
  journal={BMC Bioinformatics},
  year={2007},
  volume={9},
  pages={173 - 173}
}
In the past decades, various protein subcellular-location (SCL) predictors have been developed. Most of these predictors, like TMHMM 2.0, SignalP 3.0, PrediSi and Phobius, aim at the identification of one or a few SCLs, whereas others such as CELLO and Psortb.v.2.0 aim at a broader classification. Although these tools and pipelines can achieve a high precision in the accurate prediction of signal peptides and transmembrane helices, they have a much lower accuracy when other sequence… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 209 references

Im proved predic­ tion o f signal peptides: SignalP 3.0

JD Bendtsen, H Nielsen, G von Heijne, S Brunak
J M o l Biol • 2004
View 14 Excerpts
Highly Influenced

A n H M M posterio r decoder for sequence fea tu re prediction th a t includes hom ology in for­

L Kall, A Krogh, EL Sonnhammer
Suppl 1:i25l-7 • 2005
View 12 Excerpts
Highly Influenced

Proteom ics-based consensus prediction o f protein re ten tio n in a bacteria l m em b rane

H Tjalsma, JM van Dijl
Proteomics • 2005
View 13 Excerpts
Highly Influenced

IT: Tran spo rtD B : a re lational database o f ce llu lar m em b ran e tran spo rt systems

Q Ren, KH Kang, Paulsen
Nucleic Acids Res • 2004
View 5 Excerpts
Highly Influenced

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