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Journal Articles BMC Bioinformatics Year : 2015

YOC, A new strategy for pairwise alignment of collinear genomes


Background: Comparing and aligning genomes is a key step in analyzing closely related genomes. Despite the development of many genome aligners in the last 15 years, the problem is not yet fully resolved, even when aligning closely related bacterial genomes of the same species. In addition, no procedures are available to assess the quality of genome alignments or to compare genome aligners. Results: We designed an original method for pairwise genome alignment, named YOC, which employs a highly sensitive similarity detection method together with a recent collinear chaining strategy that allows overlaps. YOC improves the reliability of collinear genome alignments, while preserving or even improving sensitivity. We also propose an original qualitative evaluation criterion for measuring the relevance of genome alignments. We used this criterion to compare and benchmark YOC with five recent genome aligners on large bacterial genome datasets, and showed it is suitable for identifying the specificities and the potential flaws of their underlying strategies. Conclusions: The YOC prototype is available at https://github.com/ruricaru/YOC. It has several advantages over existing genome aligners: (1) it is based on a simplified two phase alignment strategy, (2) it is easy to parameterize, (3) it produces reliable genome alignments, which are easier to analyze and to use.
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lirmm-01170968 , version 1 (02-07-2015)



Raluca Uricaru, Célia Michotey, Hélène Chiapello, Eric Rivals. YOC, A new strategy for pairwise alignment of collinear genomes. BMC Bioinformatics, 2015, 16 (1), pp.16:111. ⟨10.1186/s12859-015-0530-3⟩. ⟨lirmm-01170968⟩
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