DocumentCode
3374559
Title
A parameterized enumeration algorithm for the haplotype assembly problem
Author
Yang Yang ; Minzhu Xie
Author_Institution
Coll. of Phys. & Inf. Sci., Hunan Normal Univ., Changsha, China
fYear
2013
fDate
16-18 Dec. 2013
Firstpage
455
Lastpage
459
Abstract
Given DNA sequence fragments from a pair of chromosomes, the goal of the haplotype assembly problem is to reconstruct the two haplotypes of the underlying chromosomes. Many heuristic algorithms and exact algorithms have been introduced for the problem, and they aim to reconstruct a pair of haplotypes that is optimal or near-optimal. However given an input fragments data the optimal solution may be not unique, but these algorithms can only choose one randomly or the one they find at first. This paper proposes a parameterized enumeration algorithm for the Minimum Single Nucleotide Polymorphism (SNP) Removal model of the problem. Extensive experiments show that the algorithm can effectively provide multiple optimal solutions to biologists for further analyses.
Keywords
DNA; cellular biophysics; molecular biophysics; molecular configurations; polymorphism; self-assembly; DNA sequence fragments; chromosomes; haplotype assembly problem; haplotypes reconstruction; heuristic algorithms; minimum single nucleotide polymorphism; multiple optimal solutions; parameterized enumeration algorithm; Algorithm design and analysis; Assembly; Biological cells; Biological system modeling; DNA; Heuristic algorithms; Sequential analysis; haplotype assembly problem; multiple optimal solutions; parameterized algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-2760-9
Type
conf
DOI
10.1109/BMEI.2013.6746986
Filename
6746986
Link To Document