Quasi-Periodic Feature Classifier algorithm for G protein-coupled receptors

eagle-i ID

Resource Type

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