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Global network alignment using multiscale spectral signatures
Author(s) -
Rob Patro,
Carl Kingsford
Publication year - 2012
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/bts592
Subject(s) - computer science , pairwise comparison , discriminative model , signature (topology) , biological network , homology (biology) , artificial intelligence , network motif , theoretical computer science , computational biology , pattern recognition (psychology) , data mining , complex network , biology , mathematics , genetics , gene , geometry , world wide web
Protein interaction networks provide an important system-level view of biological processes. One of the fundamental problems in biological network analysis is the global alignment of a pair of networks, which puts the proteins of one network into correspondence with the proteins of another network in a manner that conserves their interactions while respecting other evidence of their homology. By providing a mapping between the networks of different species, alignments can be used to inform hypotheses about the functions of unannotated proteins, the existence of unobserved interactions, the evolutionary divergence between the two species and the evolution of complexes and pathways.

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