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Datasets for Evaluating Metagenomic Phage Detection Tools

Authors: Schackart III, Kenneth E.; Graham, Jessica B.; Ponsero, Alise J.; Hurwitz, Bonnie L.;

Datasets for Evaluating Metagenomic Phage Detection Tools

Abstract

This work was supported by grants from Academy of Finland [339172 to Alise Ponsero] and Gordon and Betty Moore Foundation [GBMF 8751 to Bonnie Hurwitz]. Kenneth Schackart acknowledges funding from a PhD training grant through the U.S. National Institutes of Health T32 GM 132008. Jessica Graham acknowledges funding from the MARC undergraduate training grant through the U.S. National Institutes of Health T34 GM 8718.

These datasets include sequences that can be used for evaluating computational tools that detect bacteriophage in metagenomes. Datasheets are supplied for each dataset, and a README describes how to extract each dataset. Once the directories are extracted, there is a README in each directory describing the individual dataset.

Related Organizations
Keywords

metagenomics, benchmark evaluation, bacteriophage, bioinformatics, sequence classification, virus detection

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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