A statistical physics perspective on alignment-independent protein sequence comparison
Author(s) -
Amit K. Chattopadhyay,
Diar Nasiev,
Darren R. Flower
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv167
Subject(s) - similarity (geometry) , perspective (graphical) , multiple sequence alignment , sequence (biology) , computer science , function (biology) , descent (aeronautics) , sequence alignment , protein function , artificial intelligence , computational biology , biology , peptide sequence , physics , genetics , meteorology , image (mathematics) , gene
Within bioinformatics, the textual alignment of amino acid sequences has long dominated the determination of similarity between proteins, with all that implies for shared structure, function and evolutionary descent. Despite the relative success of modern-day sequence alignment algorithms, so-called alignment-free approaches offer a complementary means of determining and expressing similarity, with potential benefits in certain key applications, such as regression analysis of protein structure-function studies, where alignment-base similarity has performed poorly.
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