Jun 1, 2011

Evaluating the fidelity of de novo short read metagenomic assembly using simulated data

PloS One
Miguel Pignatelli, Andrés Moya

Abstract

A frequent step in metagenomic data analysis comprises the assembly of the sequenced reads. Many assembly tools have been published in the last years targeting data coming from next-generation sequencing (NGS) technologies but these assemblers have not been designed for or tested in multi-genome scenarios that characterize metagenomic studies. Here we provide a critical assessment of current de novo short reads assembly tools in multi-genome scenarios using complex simulated metagenomic data. With this approach we tested the fidelity of different assemblers in metagenomic studies demonstrating that even under the simplest compositions the number of chimeric contigs involving different species is noticeable. We further showed that the assembly process reduces the accuracy of the functional classification of the metagenomic data and that these errors can be overcome raising the coverage of the studied metagenome. The results presented here highlight the particular difficulties that de novo genome assemblers face in multi-genome scenarios demonstrating that these difficulties, that often compromise the functional classification of the analyzed data, can be overcome with a high sequencing effort.

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  • Citations45

References

Mentioned in this Paper

Pyotraumatic Dermatitis
Fatty Streaks
Genome
Metagenome
Ncbi Taxonomy
Chimera Organism
Genome Assembly Sequence
Phylogeny
Genomics
Sequencing

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