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      Struo: a pipeline for building custom databases for common metagenome profilers

      1 , 1 , 1
      Bioinformatics
      Oxford University Press (OUP)

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          Abstract

          Summary

          Taxonomic and functional information from microbial communities can be efficiently obtained by metagenome profiling, which requires databases of genes and genomes to which sequence reads are mapped. However, the databases that accompany metagenome profilers are not updated at a pace that matches the increase in available microbial genomes, and unifying database content across metagenome profiling tools can be cumbersome. To address this, we developed Struo, a modular pipeline that automatizes the acquisition of genomes from public repositories and the construction of custom databases for multiple metagenome profilers. The use of custom databases that broadly represent the known microbial diversity by incorporating novel genomes results in a substantial increase in mappability of reads in synthetic and real metagenome datasets.

          Availability and implementation

          Source code available for download at https://github.com/leylabmpi/Struo. Custom genome taxonomy database databases available at http://ftp.tue.mpg.de/ebio/projects/struo/.

          Supplementary information

          Supplementary data are available at Bioinformatics online.

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          Author and article information

          Journal
          Bioinformatics
          Oxford University Press (OUP)
          1367-4803
          1460-2059
          November 28 2019
          November 28 2019
          Affiliations
          [1 ]Department of Microbiome Science. Max Planck Institute for Developmental Biology, Tübingen 72076, Germany
          Article
          10.1093/bioinformatics/btz899
          31778148
          cf9c1fa5-a6b2-4af4-9e33-8cf1d93a991e
          © 2019

          https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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