Measuring population-based completeness for Single Nucleotide Polymorphism (SNP) databases

Nurul A. Emran; Suzanne Embury; Paolo Missier

doi:10.1007/978-3-319-05503-9_17

Measuring population-based completeness for Single Nucleotide Polymorphism (SNP) databases

Nurul A. Emran, Suzanne Embury, Paolo Missier

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

Completeness of data sets is an important aspect of data quality as observed in biological domain such as Single Nucleotide Polymorphism (SNP). In order to decide on the acceptability of the data sets of concerned, biologists need to measure the completeness of the data sets. One type of data completeness measure is population-based completeness (PBC) that has been identified as relevant to deal with data completeness problem in this domain. In this paper, the implementation of PBC measurement will be presented as a system prototype involving real SNP data sets. The result of the analysis on the practical problems encountered during the implementation of PBC will also be presented.

Original language	English
Pages (from-to)	173-182
Number of pages	10
Journal	Studies in Computational Intelligence
Volume	551
DOIs	https://doi.org/10.1007/978-3-319-05503-9_17
Publication status	Published - 2014

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2014.

Keywords

Data completeness measurement
Population-based completeness (PBC)
Single Nucleotide Polymorphism (SNP)

ASJC Scopus subject areas

Artificial Intelligence

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10.1007/978-3-319-05503-9_17

Cite this

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title = "Measuring population-based completeness for Single Nucleotide Polymorphism (SNP) databases",

abstract = "Completeness of data sets is an important aspect of data quality as observed in biological domain such as Single Nucleotide Polymorphism (SNP). In order to decide on the acceptability of the data sets of concerned, biologists need to measure the completeness of the data sets. One type of data completeness measure is population-based completeness (PBC) that has been identified as relevant to deal with data completeness problem in this domain. In this paper, the implementation of PBC measurement will be presented as a system prototype involving real SNP data sets. The result of the analysis on the practical problems encountered during the implementation of PBC will also be presented.",

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AU - Embury, Suzanne

AU - Missier, Paolo

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PY - 2014

Y1 - 2014

N2 - Completeness of data sets is an important aspect of data quality as observed in biological domain such as Single Nucleotide Polymorphism (SNP). In order to decide on the acceptability of the data sets of concerned, biologists need to measure the completeness of the data sets. One type of data completeness measure is population-based completeness (PBC) that has been identified as relevant to deal with data completeness problem in this domain. In this paper, the implementation of PBC measurement will be presented as a system prototype involving real SNP data sets. The result of the analysis on the practical problems encountered during the implementation of PBC will also be presented.

AB - Completeness of data sets is an important aspect of data quality as observed in biological domain such as Single Nucleotide Polymorphism (SNP). In order to decide on the acceptability of the data sets of concerned, biologists need to measure the completeness of the data sets. One type of data completeness measure is population-based completeness (PBC) that has been identified as relevant to deal with data completeness problem in this domain. In this paper, the implementation of PBC measurement will be presented as a system prototype involving real SNP data sets. The result of the analysis on the practical problems encountered during the implementation of PBC will also be presented.

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KW - Population-based completeness (PBC)

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VL - 551

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JO - Studies in Computational Intelligence

JF - Studies in Computational Intelligence

ER -

Measuring population-based completeness for Single Nucleotide Polymorphism (SNP) databases

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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