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Quasi-Periodic Feature Classifier algorithm for G protein-coupled receptors
eagle-i ID
http://eagle-i.itmat.upenn.edu/i/0000013a-c193-493a-d69a-d90d80000000
Resource Type
Properties
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Resource Description
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"Quasi-Periodic Feature Classifier is an algorithm for identifying multi-transmembrane proteins from genomic databases with a specific application to identifying G protein-coupled receptors. The QFC algorithm uses concise statistical variables as the 'feature space' to characterize the quasi-periodic physico-chemical properties of multi-transmembrane proteins. For the case of identifying GPCRs, the variables are then used in a non-parametric linear discriminant function to separate GPCRs from non-GPCRs. The algorithm runs in time linearly proportional to the number of sequences."
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Additional Name
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QFC
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Used by
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Kim Laboratory: Computational Evolutionary Biology
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Operating System
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LINUX
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Operating System
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Unix
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Operating System
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Web based
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Data Input
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Amino acid sequences
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Data Output
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Amino acid sequences Identified as GPCRs
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Software purpose
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Sequence analysis objective
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Related Publication or Documentation
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Identification of novel multi-transmembrane proteins from genomic databases using quasi-periodic structural properties
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Website(s)
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http://bioinformatics.oxfordjournals.org/content/16/9/767.full.pdf
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Related Technique
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Bioinformatics analysis
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Developed by
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Kim, Junhyong., PhD
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Software license
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Academic software license
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Coded in
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C++
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Coded in
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Perl
