ChloPred specifications

Unique identifier:
OMICS_18423
Restrictions to use:
None
Input format:
FASTA
Stability:
Stable
Interface:
Web user interface
Input data:
A query protein sequences.
Computer skills:
Basic
Maintained:
Yes

ChloPred support

Maintainers

  • Hao Lin <>
  • Wei Chen <>

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Publications

Institution(s)

Identifies subchloroplast location of proteins based on the primary sequence information. ChloPred is a support vector machine (SVM)-based method to predict the locations of chloroplast proteins. This method achieves an anticipated overall of 88.03per cent in the jack-knife test on a very rigorous and objective dataset, which demonstrates the capability of binomial distribution technique in the process of feature selection.

Funding source(s)

Key Laboratory for NeuroInformation of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Center for Genomics and Computational Biology, Department of Physics, College of Sciences Hebei United University, Tangshan, China; School of Information and Engineering, Sichuan Agricultural University, Yaan, China

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