2015
DOI: 10.1016/j.cels.2015.07.007
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Modern Methods for Delineating Metagenomic Complexity

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Cited by 22 publications
(21 citation statements)
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“…Macrobial eDNA studies use massive datasets to evaluate low abundance sequences from unseen taxa, thus susceptibility to artifacts such as sample contamination (Lusk 2014), amplification errors (Schnell et al 2015), sequencing errors (Robasky et al 2014), computational artifacts (Rossberg et al 2014), and inaccurate taxonomic assignment (Afshinnekoo et al 2015b), is high. Mendoza et al (2015) provide a useful overview for navigating these challenges.…”
Section: Analysis Of Edna Datamentioning
confidence: 99%
“…Macrobial eDNA studies use massive datasets to evaluate low abundance sequences from unseen taxa, thus susceptibility to artifacts such as sample contamination (Lusk 2014), amplification errors (Schnell et al 2015), sequencing errors (Robasky et al 2014), computational artifacts (Rossberg et al 2014), and inaccurate taxonomic assignment (Afshinnekoo et al 2015b), is high. Mendoza et al (2015) provide a useful overview for navigating these challenges.…”
Section: Analysis Of Edna Datamentioning
confidence: 99%
“…On 25 April 2015, Petit et al (27) posted a preprint to Zenodo demonstrating that there was no evidence for B. anthracis in the data set. On 29 July 2015, a critique was published by Cell Systems along with a response from the original authors offering a correction to their article (28, 29). A second anecdote of using preprints to aid in postpublication peer review surrounds the publishing of a draft tardigrade genome in the Proceedings of the National Academy of Sciences .…”
Section: Microbiology Anecdotesmentioning
confidence: 99%
“…Conventional 16S taxon-based approaches to analyzing microbiome data that are routinely used by the larger scientific community rely heavily on known reference genomes and gene datasets, and result in limited information beyond the relative abundances of microbial species that are present in a sample. In addition to this problem, there are several obvious limitations to this approach exemplified by the fact that almost half of the high-quality sequence reads that are derived from microbiome projects cannot be taxonomically classified [82,83].…”
Section: Forensic Microbiome Challenges and Limitationsmentioning
confidence: 99%
“…The temporal variation is not constant, as some samples, such as gut microbiome, are more robust than others. Similarly, the initial works on the environmental microbiomes have a diverse array of collection techniques: the dust from the fans were sampled for the dorm rooms [25]; swabs were taken from the subways and parks of New York [83]; specialized collection plates were used in the examination of the different office studies. No meta-study has addressed any possible changes to the results from these different sampling techniques.…”
Section: Forensic Microbiome Challenges and Limitationsmentioning
confidence: 99%