AtSubP

:: DESCRIPTION

AtSubP (for Arabidopsis subcellular localization predictor) is an integrative support vector machine-based localization predictor that is based on the combinatorial presence of diverse protein features, such as its amino acid composition, sequence-order effects, terminal information, Position-Specific Scoring Matrix, and similarity search-based Position-Specific Iterated-Basic Local Alignment Search Tool information.

::DEVELOPER

The Zhao Bioinformaitcs Lab at the Samuel Roberts Noble Foundation

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Plant Physiol. 2010 Sep;154(1):36-54. doi: 10.1104/pp.110.156851. Epub 2010 Jul 20.
Combining machine learning and homology-based approaches to accurately predict subcellular localization in Arabidopsis.
Kaundal R1, Saini R, Zhao PX.