eagle-i The University of PennsylvaniaThe University of Pennsylvania
See it in Search
This page is a preview of the following resource. Continue onto eagle-i search using the button on the right to see the full record.

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

  1. Algorithmic software component

Properties

  1. Resource Description
    "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."
  2. Additional Name
    QFC
  3. Used by
    Kim Laboratory: Computational Evolutionary Biology
  4. Operating System
    LINUX
  5. Operating System
    Unix
  6. Operating System
    Web based
  7. Data Input
    Amino acid sequences
  8. Data Output
    Amino acid sequences Identified as GPCRs
  9. Software purpose
    Sequence analysis objective
  10. Related Publication or Documentation
    Identification of novel multi-transmembrane proteins from genomic databases using quasi-periodic structural properties
  11. Website(s)
    http://bioinformatics.oxfordjournals.org/content/16/9/767.full.pdf
  12. Related Technique
    Bioinformatics analysis
  13. Developed by
    Kim, Junhyong, Ph.D.
  14. Software license
    Academic software license
  15. Coded in
    C++
  16. Coded in
    Perl
 
RDFRDF
 
Provenance Metadata About This Resource Record
  1. workflow state
    Published
  2. contributor
    fcoldren
  3. created
    2012-11-02T10:46:29.398-04:00
  4. creator
    fcoldren
  5. modified
    2013-04-02T12:40:01.295-04:00

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016