DocumentCode
1151669
Title
Accuracy Assessment of Diploid Consensus Sequences
Author
Kim, Jong Hyun ; Waterman, Michael S. ; Li, Lei M.
Author_Institution
Dept. of Comput. Sci. & the Molecular & Comput. Biol. Program, Southern California Univ., Los Angeles, CA
Volume
4
Issue
1
fYear
2007
Firstpage
88
Lastpage
97
Abstract
If the origins of fragments are known in genome sequencing projects, it is straightforward to reconstruct diploid consensus sequences. In reality, however, this is not true. Although there are proposed methods to reconstruct haplotypes from genome sequencing projects, an accuracy assessment is required to evaluate the confidence of the estimated diploid consensus sequences. In this paper, we define the confidence score of diploid consensus sequences. It requires the calculation of the likelihood of an assembly. To calculate the likelihood, we propose a linear time algorithm with respect to the number of polymorphic sites. The likelihood calculation and confidence score are used for further improvements of haplotype estimation in two directions. One direction is that low-scored phases are disconnected. The other direction is that, instead of using nominal frequency 1/2, the haplotype frequency is estimated to reflect the actual contribution of each haplotype. Our method was evaluated on the simulated data whose polymorphism rate (1.2 percent) was based on Ciona intestinalis. As a result, the high accuracy of our algorithm was indicated: The true positive rate of the haplotype estimation was greater than 97 percent
Keywords
biology computing; genetics; maximum likelihood estimation; molecular biophysics; molecular configurations; polymorphism; Ciona intestinalis; diploid consensus sequences; genome sequencing; haplotype frequency; haplotype reconstruction; linear time algorithm; maximum likelihood estimation; polymorphic sites; polymorphism; Assembly; Bioinformatics; Cloning; Computational biology; Frequency estimation; Genomics; Intestines; Organisms; Redundancy; Sequences; Haplotype; diploid.; polymorphism; shotgun sequencing; Algorithms; Animals; Ciona intestinalis; Computational Biology; Computer Simulation; Consensus Sequence; Diploidy; Gene Frequency; Haplotypes; Likelihood Functions; Markov Chains; Models, Statistical; Polymorphism, Genetic; Probability; Sequence Analysis, DNA;
fLanguage
English
Journal_Title
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1545-5963
Type
jour
DOI
10.1109/TCBB.2007.1007
Filename
4104462
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