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Genetic ME–a visualization application for merging and editing pedigrees for genetic studies

BACKGROUND: In order to study the genetics of diseases more accurately and effectively, one often collects large families. Different members of a large family may provide differing information about the structure and make-up of their pedigree. Thus, software is needed to facilitate reconciliation of...

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Autores principales: Bui, Diem K., Jiang, Yingda, Wei, Xin, Ortube, Maria C., Weeks, Daniel E., Conley, Yvette P., Gorin, Michael B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4478623/
https://www.ncbi.nlm.nih.gov/pubmed/26076732
http://dx.doi.org/10.1186/s13104-015-1131-y
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author Bui, Diem K.
Jiang, Yingda
Wei, Xin
Ortube, Maria C.
Weeks, Daniel E.
Conley, Yvette P.
Gorin, Michael B.
author_facet Bui, Diem K.
Jiang, Yingda
Wei, Xin
Ortube, Maria C.
Weeks, Daniel E.
Conley, Yvette P.
Gorin, Michael B.
author_sort Bui, Diem K.
collection PubMed
description BACKGROUND: In order to study the genetics of diseases more accurately and effectively, one often collects large families. Different members of a large family may provide differing information about the structure and make-up of their pedigree. Thus, software is needed to facilitate reconciliation of pedigrees collected independently from multiple informants from a single large family to create a unified pedigree that is based on the best composite information available. FINDINGS: Our implementation demonstrates that Genetic ME performs merging in terms of adding, replacing and combining information from two pedigrees. Through a tracking process, all of the changes made to the data set for the individuals can be traced back to their original source material. A new pedigree structure can be easily visualized while reconciling disparate information from multiple pedigrees. METHODS: We developed the Genetic Merging & Editing (Genetic ME) program, an open source Java application built on top of CraneFoot and Ghostscript, to support comparing, editing and merging of pedigrees collected from multiple sources in a visually-oriented manner. CONCLUSIONS: Genetic ME constitutes an ideal addition to software packages for reconciling pedigree information from multiple sources. Genetic ME provides a friendly graphical user interface, traces the changes made by users, and produces viewable merged pedigree structures able to be further used by other popular analysis programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13104-015-1131-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-44786232015-06-25 Genetic ME–a visualization application for merging and editing pedigrees for genetic studies Bui, Diem K. Jiang, Yingda Wei, Xin Ortube, Maria C. Weeks, Daniel E. Conley, Yvette P. Gorin, Michael B. BMC Res Notes Technical Note BACKGROUND: In order to study the genetics of diseases more accurately and effectively, one often collects large families. Different members of a large family may provide differing information about the structure and make-up of their pedigree. Thus, software is needed to facilitate reconciliation of pedigrees collected independently from multiple informants from a single large family to create a unified pedigree that is based on the best composite information available. FINDINGS: Our implementation demonstrates that Genetic ME performs merging in terms of adding, replacing and combining information from two pedigrees. Through a tracking process, all of the changes made to the data set for the individuals can be traced back to their original source material. A new pedigree structure can be easily visualized while reconciling disparate information from multiple pedigrees. METHODS: We developed the Genetic Merging & Editing (Genetic ME) program, an open source Java application built on top of CraneFoot and Ghostscript, to support comparing, editing and merging of pedigrees collected from multiple sources in a visually-oriented manner. CONCLUSIONS: Genetic ME constitutes an ideal addition to software packages for reconciling pedigree information from multiple sources. Genetic ME provides a friendly graphical user interface, traces the changes made by users, and produces viewable merged pedigree structures able to be further used by other popular analysis programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13104-015-1131-y) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-16 /pmc/articles/PMC4478623/ /pubmed/26076732 http://dx.doi.org/10.1186/s13104-015-1131-y Text en © Bui et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Technical Note
Bui, Diem K.
Jiang, Yingda
Wei, Xin
Ortube, Maria C.
Weeks, Daniel E.
Conley, Yvette P.
Gorin, Michael B.
Genetic ME–a visualization application for merging and editing pedigrees for genetic studies
title Genetic ME–a visualization application for merging and editing pedigrees for genetic studies
title_full Genetic ME–a visualization application for merging and editing pedigrees for genetic studies
title_fullStr Genetic ME–a visualization application for merging and editing pedigrees for genetic studies
title_full_unstemmed Genetic ME–a visualization application for merging and editing pedigrees for genetic studies
title_short Genetic ME–a visualization application for merging and editing pedigrees for genetic studies
title_sort genetic me–a visualization application for merging and editing pedigrees for genetic studies
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4478623/
https://www.ncbi.nlm.nih.gov/pubmed/26076732
http://dx.doi.org/10.1186/s13104-015-1131-y
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