The web-server subGolgi was developed to identify Golgi-resident proteins and their types based on the sequence information. The ANOVA was used to find out optimized dipeptide. The anticipated overall success rates are 85.4% in discriminating between cis-Golgi proteins and trans-Golgi proteins and 79.9% in the prediction of Golgi-resident proteins by using jackknife cross-validation. All data can be downloaded from the Data window of this web-server.

Caveat

(1) For each submission, the number of protein sequences is limited at 100 or less;

(2) The input sequences must be in FASTA format; i.e., each protein sequence should start with a greater-than symbol (" > ") in the first column. The words right after the " > " symbol in the single initial line are optional and only used for the purpose of identification and description.

(3) If a query sequence contains any illegal character, wrong results will be obtained.