CELLO v.2.5 / CELLO2GO – subCELlular LOcalization predictor

CELLO v.2.5 / CELLO2GO

:: DESCRIPTION

CELLO is a multi-class SVM classification system. CELLO uses 4 types of sequence coding schemes: the amino acid composition, the di-peptide composition, the partitioned amino acid composition and the sequence composition based on the physico-chemical properties of amino acids. We combine votes from these classifiers and use the jury votes to determine the final assignment.

CELLO2GO is a publicly available, web-based system for screening various properties of a targeted protein and its subcellular localization.

::DEVELOPER

CELLO team,  National Chiao Tung University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

CELLO2GO: a web server for protein subCELlular LOcalization prediction with functional gene ontology annotation.
Yu CS, Cheng CW, Su WC, Chang KC, Huang SW, Hwang JK, Lu CH.
PLoS One. 2014 Jun 9;9(6):e99368. doi: 10.1371/journal.pone.0099368.

Protein Sci. 2004 May;13(5):1402-6.
Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions.
Yu CS, Lin CJ, Hwang JK.