Parallel Algorithm For Sorting Animal Pedigrees

In many analyses of animal genotype with the methods of quantitative genetics there is a needto account for relationships among individuals. Incorrectly calculated relationship coefficientsmay lead to biased estimates. The number of software packages exist which deal with thatproblem; however, in ma...

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Main Author: Maciej Gierdziewicz
Format: Article
Language:English
Published: AGH University of Science and Technology Press 2009-01-01
Series:Computer Science
Subjects:
Online Access:http://journals.agh.edu.pl/csci/article/download/127/75
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author Maciej Gierdziewicz
author_facet Maciej Gierdziewicz
author_sort Maciej Gierdziewicz
collection DOAJ
description In many analyses of animal genotype with the methods of quantitative genetics there is a needto account for relationships among individuals. Incorrectly calculated relationship coefficientsmay lead to biased estimates. The number of software packages exist which deal with thatproblem; however, in many of them it is assumed that pedigrees of the individuals are sortedchronologically, but in real data sets – containing information on traits and pedigrees – birthdates are often missing. In extreme cases, when (almost) no birth dates are present, theordering must be made by comparing – at least once – each pair of individuals separately,since it is not sufficient to compare adjacent elements in order to check whether the dataset is sorted. Two versions of parallel computer programs were compared, with constant orvariable distance between elements of compared pairs. The results indicate that the secondalgorithm is more efficient.
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spelling doaj.art-a1a9efcf72e048b68f47ce19896c1e032022-12-21T18:59:04ZengAGH University of Science and Technology PressComputer Science1508-28062009-01-01105710.7494/csci.2009.10.3.57Parallel Algorithm For Sorting Animal PedigreesMaciej Gierdziewicz0University of Agriculture in KrakowIn many analyses of animal genotype with the methods of quantitative genetics there is a needto account for relationships among individuals. Incorrectly calculated relationship coefficientsmay lead to biased estimates. The number of software packages exist which deal with thatproblem; however, in many of them it is assumed that pedigrees of the individuals are sortedchronologically, but in real data sets – containing information on traits and pedigrees – birthdates are often missing. In extreme cases, when (almost) no birth dates are present, theordering must be made by comparing – at least once – each pair of individuals separately,since it is not sufficient to compare adjacent elements in order to check whether the dataset is sorted. Two versions of parallel computer programs were compared, with constant orvariable distance between elements of compared pairs. The results indicate that the secondalgorithm is more efficient.http://journals.agh.edu.pl/csci/article/download/127/75animal breeding; pedigree; chronological order; parallel computing
spellingShingle Maciej Gierdziewicz
Parallel Algorithm For Sorting Animal Pedigrees
Computer Science
animal breeding; pedigree; chronological order; parallel computing
title Parallel Algorithm For Sorting Animal Pedigrees
title_full Parallel Algorithm For Sorting Animal Pedigrees
title_fullStr Parallel Algorithm For Sorting Animal Pedigrees
title_full_unstemmed Parallel Algorithm For Sorting Animal Pedigrees
title_short Parallel Algorithm For Sorting Animal Pedigrees
title_sort parallel algorithm for sorting animal pedigrees
topic animal breeding; pedigree; chronological order; parallel computing
url http://journals.agh.edu.pl/csci/article/download/127/75
work_keys_str_mv AT maciejgierdziewicz parallelalgorithmforsortinganimalpedigrees