An information-based sequence distance and its application to whole mitochondrial genome phylogeny | Zendy

Ming Li | Zendy; Jonathan H. Badger | Zendy; Xin Chen | Zendy; Sam Kwong | Zendy; Paul Kearney | Zendy; Haoyong Zhang | Zendy

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An information-based sequence distance and its application to whole mitochondrial genome phylogeny

Author(s) -

Ming Li,

Jonathan H. Badger,

Xin Chen,

Sam Kwong,

Paul Kearney,

Haoyong Zhang

Publication year - 2001

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/17.2.149

Subject(s) - phylogenetics , sequence (biology) , biology , genome , distance matrices in phylogeny , evolutionary biology , mitochondrial dna , edit distance , computational biology , computer science , genetics , algorithm , bioinformatics , gene

Traditional sequence distances require an alignment and therefore are not directly applicable to the problem of whole genome phylogeny where events such as rearrangements make full length alignments impossible. We present a sequence distance that works on unaligned sequences using the information theoretical concept of Kolmogorov complexity and a program to estimate this distance.

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