On the near-linear correlation of the eigenvalues across BLOSUM matrices

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationBioinformatics Research and Applications
Subtitle of host publication11th International Symposium, ISBRA 2015, Proceedings
EditorsIon Măndoiu, Yaohang Li, Robert Harrison
PublisherSpringer Verlag
Pages199-210
Volume9096
ISBN (print)9783319190471
Publication statusPublished - 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9096
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Conference

Title11th International Symposium on Bioinformatics Research and Applications, ISBRA 2015
PlaceUnited States
CityNorfolk
Period7 - 10 June 2015

Abstract

The BLOSUMmatrices estimate the likelihood for one amino acid to be substituted with another, and are commonly used in sequence alignments. Each BLOSUMmatrix is associated with a parameter x—the matrix elements are computed based on the diversity among sequences of no more than x% similar. In an earlier work, Song et al. observed a property in the BLOSUM matrices—eigendecompositions of the matrices produce nearly identical sets of eigenvectors. Furthermore, for each eigenvector, a nearly linear trend is observed in all its eigenvalues. This property allowed Song et al. to devise an iterative alignment and matrix selection process to produce more accurate matrices. In this paper, we investigate the reasons behind this property of the BLOSUM matrices. Using this knowledge, we analyze the situations under which the property holds, and hence clarify the extent of the earlier method’s validity.

Citation Format(s)

On the near-linear correlation of the eigenvalues across BLOSUM matrices. / Li, Jin; Ng, Yen Kaow; Liu, Xingwu et al.
Bioinformatics Research and Applications: 11th International Symposium, ISBRA 2015, Proceedings. ed. / Ion Măndoiu; Yaohang Li; Robert Harrison. Vol. 9096 Springer Verlag, 2015. p. 199-210 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9096).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review