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Article Abstract
[This corrects the article DOI: 10.1371/journal.pcbi.1007732.].
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| http://dx.doi.org/10.1371/journal.pcbi.1009687 | DOI Listing |
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Correction: PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph.
PLoS Comput Biol
December 2021
[This corrects the article DOI: 10.1371/journal.pcbi.
View Article and Find Full Text PDFPPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph.
PLoS Comput Biol
March 2020
LABGeM, Génomique Métabolique, CEA, Genoscope, Institut François Jacob, Université d'Évry, Université Paris-Saclay, CNRS, Evry, France.
The use of comparative genomics for functional, evolutionary, and epidemiological studies requires methods to classify gene families in terms of occurrence in a given species. These methods usually lack multivariate statistical models to infer the partitions and the optimal number of classes and don't account for genome organization. We introduce a graph structure to model pangenomes in which nodes represent gene families and edges represent genomic neighborhood.
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