Please use this identifier to cite or link to this item:
Title: Hierarchical motif vectors for amino acid sequence alignment
Authors: Karaçalı, Bilge
Keywords: Amino acid sequence analysis
Motif vectors
Physico-chemical profiles
Sequence alignment
Wavelet decomposition
Issue Date: 2012
Abstract: We present a new framework for global and local alignment of amino acid sequences based on hierarchical motif vectors that characterize local amino acid configurations. The motif vectors are constructed by carrying out wavelet decomposition on numeric property sequences obtained by replacing each amino acid in a sequence with their respective properties, and concatenating such profiles obtained for a large number of physico-chemical properties into a single column vector. We then formulate different schemes for aligning amino acid sequences based on their respective motif vectors globally as well as locally subject to measures of statistical significance. Experiment results indicate that the motif vectors accurately capture the amino acid composition at and around individual sites along sequences and allow associating sequence segments sharing similar functional attributes.
ISBN: 978-088986909-7
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record

CORE Recommender


checked on Mar 1, 2024

Page view(s)

checked on Feb 26, 2024

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.