Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE/ACM Transaction...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Article . 2007 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2007
Data sources: DBLP
versions View all 3 versions
addClaim

Accuracy Assessment of Diploid Consensus Sequences

Authors: Jong Hyun Kim; Michael S. Waterman; Lei M. Li;

Accuracy Assessment of Diploid Consensus Sequences

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.

Related Organizations
Keywords

Likelihood Functions, Models, Statistical, Polymorphism, Genetic, Computational Biology, Sequence Analysis, DNA, Diploidy, Markov Chains, Ciona intestinalis, Gene Frequency, Haplotypes, Consensus Sequence, Animals, Computer Simulation, Algorithms, Probability

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!