PDR: a new genome assembly evaluation metric based on genetics concerns

Author:

Xie Luyu1ORCID,Wong Limsoon1

Affiliation:

1. Department of Computer Science, School of Computing, National University of Singapore, Singapore 117417, Singapore

Abstract

Abstract Motivation Existing genome assembly evaluation metrics provide only limited insight on specific aspects of genome assembly quality, and sometimes even disagree with each other. For better integrative comparison between assemblies, we propose, here, a new genome assembly evaluation metric, Pairwise Distance Reconstruction (PDR). It derives from a common concern in genetic studies, and takes completeness, contiguity, and correctness into consideration. We also propose an approximation implementation to accelerate PDR computation. Results Our results on publicly available datasets affirm PDR’s ability to integratively assess the quality of a genome assembly. In fact, this is guaranteed by its definition. The results also indicated the error introduced by approximation is extremely small and thus negligible. Availabilityand implementation https://github.com/XLuyu/PDR. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

National Research Foundation

Prime Minister’s Office

Synthetic Biology Research and Development Programme

Kwan Im Thong Hood Cho Temple Chair Professorship

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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