Article

Evaluating performance of metagenomic characterization algorithms using <i>in silico</i> datasets generated with FASTQSim

2016-03-31

Abstract excerpt

<h4>Background</h4> In silico bacterial, viral, and human truth datasets were generated to evaluate available metagenomics algorithms. Sequenced datasets include background organisms, creating ambiguity in the true source organism for each read. Bacterial and viral datasets were created with even and staggered coverage to evaluate organism identification, read mapping, and gene identification capabilities of avai...

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Literature Corpus work: 57407a63-4ce6-5695-9124-8709d65899ff
DOI: 10.1101/046532

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