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Note: This is an archived page of an older version of PSORTb server. The newest version (v.3.0) can be found here.

Submit a Sequence to PSORTb version 2.0.4

With a measured overall precision of 96%, PSORTb v.2.0 is the most precise bacterial localization prediction tool available today.* Learn more about PSORTb v.2.0's performance and compare it to other methods here.

You can currently submit one or more Gram-positive or Gram-negative bacterial sequences in FASTA format (?). Copy and paste your FASTA-formatted sequences into the textbox below or select a file containing your sequences to upload from your computer.

See also:

Choose Gram stain (?):
Required
Output format (?):

Copy and paste your FASTA sequences below


or upload from file:



This is the most current version of the PSORTb program for bacterial protein subcellular localization prediction. PSORTb v.2.0 now handles both Gram-positive and Gram-negative sequences. Version 1.1.2 of PSORT-B is maintained here (but we strongly recommend using version 3.0! ;-). If you are looking for a eukaryotic localization predictor, please visit psort.org to access other resources.

PSORTb is maintained by the Brinkman Laboratory, Simon Fraser University, British Columbia, Canada. If you use PSORTb in your research, we would greatly appreciate if you cited one of the following publications:

  • PSORTb v.2.0: J.L. Gardy, M.R. Laird, F. Chen, S. Rey, C.J. Walsh, M. Ester, and F.S.L. Brinkman (2005) PSORTb v.2.0: expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis, Bioinformatics 21(5):617-623
  • PSORTb v.1.0: Jennifer L. Gardy, Cory Spencer, Ke Wang, Martin Ester, Gabor E. Tusnady, Istvan Simon, Sujun Hua, Katalin deFays, Christophe Lambert, Kenta Nakai and Fiona S.L. Brinkman (2003) PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria, Nucleic Acids Research 31(13):3613-17

If you are interested in being notified about changes in the status of PSORT-B, please subscribe to the psort-update mailing list by emailing maillist@sfu.ca with "subscribe psort-update" in the subject or body of the message.

 

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