HybridGO-Loc

Multi-Label Protein Subcellular Localization Prediction

 

Step 1: Select the species type and the input type:

 

 

Step 2: Input your protein sequences or accession numbers: help
(See examples below; maximum 50 protein sequences or 100 accession numbers for each submission)


or upload a fasta file or text file containting a list of accession numbers:
(maximum 50 protein sequences or 100 accession numbers for each submission)

Results will be sent via email if you provide your email address here:
(Only for file input)


Example:

Virus: Virus sequences Virus accession numbers

Plant: Plant sequences Plant accession numbers

Datasets:

Datasets used in HybridGO-Loc can be found here.

Instructions:

Instructions of background information about HybridGO-Loc can be found here.

Supplementary Materials:

Suppmentary materials of HybridGO-Loc can be found here.

Citation:

Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung (2014) HybridGO-Loc: Mining Hybrid Features on Gene Ontology for Predicting Subcellular Localization of Multi-Location Proteins. PLoS ONE 9(3): e89545. doi:10.1371/journal.pone.0089545

 

 

 

Webmaster: Man-Wai Mak, Dept. of EIE, The Hong Kong Polytechnic University

  Email: enmwmak at polyu.edu.hk         URL: http://www.eie.polyu.edu.hk/~mwmak    

Last update: 26 Mar. 2014