2021
DOI: 10.1186/s12859-021-04242-0
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Simulation study and comparative evaluation of viral contiguous sequence identification tools

Abstract: Background Viruses, including bacteriophages, are important components of environmental and human associated microbial communities. Viruses can act as extracellular reservoirs of bacterial genes, can mediate microbiome dynamics, and can influence the virulence of clinical pathogens. Various targeted metagenomic analysis techniques detect viral sequences, but these methods often exclude large and genome integrated viruses. In this study, we evaluate and compare the ability of nine state-of-the-a… Show more

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Cited by 23 publications
(16 citation statements)
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“…S1B ). Our results are consistent with previous observations that several tools have difficulty predicting Neisseria prophages ( 53 ).…”
Section: Resultssupporting
confidence: 93%
“…S1B ). Our results are consistent with previous observations that several tools have difficulty predicting Neisseria prophages ( 53 ).…”
Section: Resultssupporting
confidence: 93%
“…In other words, there is still a large difference between the sequences of BatCoV BM48-31 and SARS-CoV-2. The results of Kraken 2 should be robust as long as the difference between the two virus sequences is greater than Kraken 2’s error rate, which seems to be the case from existing applications of Kraken 2 [ 12 ].…”
Section: Discussionmentioning
confidence: 99%
“…Long contigs (≥ 3 kbp) assembled from shotgun reads were screened by VirSorter (v1.0.6) 15 with default parameter to identify viral contigs. VirSorter achieved the best F1 score in a recent benchmarking study 72 . Contigs annotated as prophages were removed from the viral sequences (Supplementary Table 10) .…”
Section: Methodsmentioning
confidence: 99%