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GraphML specializations to codify ancestral recombinant graphs
Software which simulates, infers, or analyzes ancestral recombination graphs (ARGs) faces the problem of communicating them. Existing formats omit information either about the location of recombinations along the chromosome or the position of recombinations relative to the branching topology. We pre...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3735989/ https://www.ncbi.nlm.nih.gov/pubmed/23967010 http://dx.doi.org/10.3389/fgene.2013.00146 |
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author | McGill, James R. Walkup, Elizabeth A. Kuhner, Mary K. |
author_facet | McGill, James R. Walkup, Elizabeth A. Kuhner, Mary K. |
author_sort | McGill, James R. |
collection | PubMed |
description | Software which simulates, infers, or analyzes ancestral recombination graphs (ARGs) faces the problem of communicating them. Existing formats omit information either about the location of recombinations along the chromosome or the position of recombinations relative to the branching topology. We present a specialization of GraphML, an XML-based standard for mathematical graphs, for communication of ARGs. The GraphML <node> type is specialized to contain the node type, time, recombination location, and name. The GraphML <edge> type is specialized to contain the ancestral material passed along that edge. This approach, which we call ArgML, retains all information in the original ARG. Due to its use of established formats ArgML can be parsed, checked and displayed by existing software. |
format | Online Article Text |
id | pubmed-3735989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-37359892013-08-21 GraphML specializations to codify ancestral recombinant graphs McGill, James R. Walkup, Elizabeth A. Kuhner, Mary K. Front Genet Genetics Software which simulates, infers, or analyzes ancestral recombination graphs (ARGs) faces the problem of communicating them. Existing formats omit information either about the location of recombinations along the chromosome or the position of recombinations relative to the branching topology. We present a specialization of GraphML, an XML-based standard for mathematical graphs, for communication of ARGs. The GraphML <node> type is specialized to contain the node type, time, recombination location, and name. The GraphML <edge> type is specialized to contain the ancestral material passed along that edge. This approach, which we call ArgML, retains all information in the original ARG. Due to its use of established formats ArgML can be parsed, checked and displayed by existing software. Frontiers Media S.A. 2013-08-07 /pmc/articles/PMC3735989/ /pubmed/23967010 http://dx.doi.org/10.3389/fgene.2013.00146 Text en Copyright © 2013 McGill, Walkup and Kuhner. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics McGill, James R. Walkup, Elizabeth A. Kuhner, Mary K. GraphML specializations to codify ancestral recombinant graphs |
title | GraphML specializations to codify ancestral recombinant graphs |
title_full | GraphML specializations to codify ancestral recombinant graphs |
title_fullStr | GraphML specializations to codify ancestral recombinant graphs |
title_full_unstemmed | GraphML specializations to codify ancestral recombinant graphs |
title_short | GraphML specializations to codify ancestral recombinant graphs |
title_sort | graphml specializations to codify ancestral recombinant graphs |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3735989/ https://www.ncbi.nlm.nih.gov/pubmed/23967010 http://dx.doi.org/10.3389/fgene.2013.00146 |
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