2016
DOI: 10.1186/s12859-016-1186-3
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A scalable assembly-free variable selection algorithm for biomarker discovery from metagenomes

Abstract: BackgroundMetagenomics holds great promises for deepening our knowledge of key bacterial driven processes, but metagenome assembly remains problematic, typically resulting in representation biases and discarding significant amounts of non-redundant sequence information. In order to alleviate constraints assembly can impose on downstream analyses, and/or to increase the fraction of raw reads assembled via targeted assemblies relying on pre-assembly binning steps, we developed a set of binning modules and evalua… Show more

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Cited by 10 publications
(12 citation statements)
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“…() to reconstruct nearly complete genomes using the pre‐assembly approach described in Gkanogiannis et al . ().…”
Section: Methodsmentioning
confidence: 97%
See 1 more Smart Citation
“…() to reconstruct nearly complete genomes using the pre‐assembly approach described in Gkanogiannis et al . ().…”
Section: Methodsmentioning
confidence: 97%
“…Processing of metagenomics shotgun reads. The raw reads were processed as in Adam et al (2017) to reconstruct nearly complete genomes using the pre-assembly approach described in Gkanogiannis et al (2016).…”
Section: Metagenome Sequencingmentioning
confidence: 99%
“…GapCloser (http://soap.genomics.org.cn/soapdenovo.html) was run successively with the PE and MP data to reduce the number of undetermined bases (Supplementary Table 1). Completeness and representativeness of the assembly was assessed using sequence clustering (binning) software described in Gkanogiannis et al, (2016). The assembly data were integrated for automatic annotation into the Microscope platform (Vallenet et al, 2013), http://www.genoscope.cns.fr/agc/microscope/home.…”
Section: Methodsmentioning
confidence: 99%
“…The metagenome of the TRIP culture was sequenced, and genome-resolved analyses (Gkanogiannis et al, 2016) led to the reconstruction of five nearly-complete genomes that were annotated using the MicroScope microbial genome annotation and analysis platform (Médigue et al, 2017;Himmelberg et al, 2018). A general overview of the main genomic features of these organisms is presented in Table 1.…”
Section: Resultsmentioning
confidence: 99%