A curated benchmark dataset for molecular identification based on genome skimming

Genome skimming is a promising sequencing strategy for DNA-based taxonomic identification. However, the lack of standardized datasets for benchmarking genome skimming tools presents a challenge in comparing new methods to existing ones. As part of the development of varKoder, a new tool for DNA-based identification, we curated four datasets designed for comparing molecular identification tools using low-coverage genomes. These datasets comprise vast phylogenetic and taxonomic diversity from closely related species to all taxa currently represented on NCBI SRA. One of them consists of novel sequences from taxonomically verified samples in the plant clade Malpighiales, while the other three datasets compile publicly available data. All include raw genome skim sequences to enable comprehensive testing and validation of a variety molecular species identification methods. We also provide the two-dimensional graphical representations of genomic data used in varKoder. These datasets represent a reliable resource for researchers to assess the accuracy, efficiency, and robustness of new tools to varKoder and other methods in a consistent and reproducible manner.

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Publication Details

Journal
Scientific Data
Published
2025-05-29
DOI
https://doi.org/10.1038/s41597-025-05230-2
Citations
2
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
1.61

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article

A curated benchmark dataset for molecular identification based on genome skimming

Liming Cai, Peter J. Flynn, Goia de Mattos Lyra, Christiane Anderson et al.
2 citations
Scientific Data
Genomics and Phylogenetic Studies
1.61
article

A curated benchmark dataset for molecular identification based on genome skimming

Liming Cai, Peter J. Flynn, Goia de Mattos Lyra, Christiane Anderson, Bruno A. S. de Medeiros, Renata Asprino, Charles C. Davis, Xiaoshan Duan, Lucas Cardoso Marinho, Yujing Yan
article en
2 citations

Abstract

Genome skimming is a promising sequencing strategy for DNA-based taxonomic identification. However, the lack of standardized datasets for benchmarking genome skimming tools presents a challenge in comparing new methods to existing ones. As part of the development of varKoder, a new tool for DNA-based identification, we curated four datasets designed for comparing molecular identification tools using low-coverage genomes. These datasets comprise vast phylogenetic and taxonomic diversity from closely related species to all taxa currently represented on NCBI SRA. One of them consists of novel sequences from taxonomically verified samples in the plant clade Malpighiales, while the other three datasets compile publicly available data. All include raw genome skim sequences to enable comprehensive testing and validation of a variety molecular species identification methods. We also provide the two-dimensional graphical representations of genomic data used in varKoder. These datasets represent a reliable resource for researchers to assess the accuracy, efficiency, and robustness of new tools to varKoder and other methods in a consistent and reproducible manner.

Scientific DataVol. 12(1)
Smithsonian Tropical Research Institute (PA), Harvard University (US), Trinity College Dublin (IE), Universidade Estadual de Feira de Santana (BR), University of Michigan (US), Agriculture and Forestry University (NP), Harvard University Press (US), Field Museum of Natural History (US), University of Florida (US), Universidade do Estado do Rio de Janeiro (BR), North West Agriculture and Forestry University (CN), Evolutionary Genomics (United States) (US), Universidade Federal do Maranhão (BR), Universidade Federal do Estado do Rio de Janeiro (BR), The University of Texas at Austin (US)
National Science Foundation, Smithsonian Institution, Harvard University, University of Texas at Austin, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Smithsonian Tropical Research Institute
Openalex Percentile: Top 17%
Genomics and Phylogenetic Studies
1.61
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