DocumentCode
3396840
Title
Transforming men into mice (polynomial algorithm for genomic distance problem)
Author
Hannenhalli, Sridhar ; Pevzner, Pavel A.
Author_Institution
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
fYear
1995
fDate
23-25 Oct 1995
Firstpage
581
Lastpage
592
Abstract
Many people believe that transformations of humans into mice happen only in fairy tales. However, despite some differences in appearance and habits, men and mice are genetically very similar. In the pioneering paper, J.H. Nadeau and B.A. Taylor (1984) estimated that surprisingly few genomic rearrangements (178±39) happened since the divergence of human and mouse 80 million years ago. However, their analysis is nonconstructive and no rearrangement scenario for human-mouse evolution has been suggested yet. The problem is complicated by the fact that rearrangements in multi chromosomal genomes include inversions, translocations, fusions and fissions of chromosomes, a rather complex set of operations. As a result, at first glance, a polynomial algorithm for the genomic distance problem with all these operations looks almost as improbable as the transformation of a (real) man into a (real) mouse. We prove a duality theorem which expresses the genomic distance in terms of easily computable parameters reflecting different combinatorial properties of sets of strings. This theorem leads to a polynomial time algorithm for computing most parsimonious rearrangement scenarios. Based on this result and the latest comparative physical mapping data we have constructed a scenario of human-mouse evolution with 131 reversals/translocaitons/fusions/fissions. A combination of the genome rearrangement algorithm with the recently proposed experimental technique called ZOO FISH suggests a new constructive approach to the 100 year old problem of reconstructing mammalian evolution
Keywords
biology computing; duality (mathematics); evolution (biological); genetics; pattern matching; set theory; sorting; string matching; ZOO FISH; combinatorial properties; comparative physical mapping data; computable parameters; duality theorem; genome rearrangement algorithm; genomic distance problem; genomic rearrangements; human-mouse evolution; mammalian evolution; multi chromosomal genomes; parsimonious rearrangement scenarios; polynomial algorithm; polynomial time algorithm; strings; Bioinformatics; Biological cells; Chaos; Computer science; Ear; Genomics; Humans; Mice; Polynomials; Power engineering and energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 1995. Proceedings., 36th Annual Symposium on
Conference_Location
Milwaukee, WI
ISSN
0272-5428
Print_ISBN
0-8186-7183-1
Type
conf
DOI
10.1109/SFCS.1995.492588
Filename
492588
Link To Document