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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="bold" font="default" size="100%">Hennecart, Baptiste</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Belda, E.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">de Lahondès, R.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Zucker, Jean-Daniel</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Prifti, Edi</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>StrainMake : reproducible hybrid metagenomics with MAG recovery and strain-level resolution</title>
        <secondary-title>Bioinformatics</secondary-title>
      </titles>
      <pages>btag212 [4 p.]</pages>
      <dates>
        <year>2026</year>
      </dates>
      <call-num>fdi:010097131</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Bioinformatics</full-title>
      </periodical>
      <isbn>1367-4803</isbn>
      <accession-num>ISI:001769592300001</accession-num>
      <number>5</number>
      <electronic-resource-num>10.1093/bioinformatics/btag212</electronic-resource-num>
      <urls>
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          <url>https://www.documentation.ird.fr/hor/fdi:010097131</url>
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          <url>https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2026-06/010097131.pdf</url>
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      <volume>42</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>Metagenomic workflows involve complex multi-step analyses, from quality control and assembly to binning, annotation, and strain-level profiling. Few existing metagenomic pipelines achieve the combination of flexibility, reproducibility, and hybrid assembly support within a unified workflow. We present StrainMake, a Snakemake-based workflow for de novo metagenomic analysis from short, long, or hybrid sequencing data. StrainMake integrates widely used tools across all major steps-quality control, assembly, binning, dereplication, taxonomic and functional annotation-while also providing non-redundant gene catalogues, community-scale metabolic models, and strain-level microdiversity metrics. The modular design enables the use of alternative tools, scalable execution on HPC systems, and full reproducibility through Snakemake and Conda.Results Applied to the CAMI II strain-madness dataset, StrainMake produced high-quality assemblies and metagenome-assembled genomes (MAGs), while enabling strain-resolved comparisons across samples. Hybrid assemblies improved contiguity, whereas short-read assemblies offered faster runtimes, illustrating the workflow's benchmarking capacity. Availability and implementation StrainMake is open source and available at https://github.com/UMMISCO/strainmake, together with comprehensive documentation. Generated data are deposited in Zenodo (doi: 10.5281/zenodo.16950162).</abstract>
      <custom6>020 ; 122</custom6>
      <custom1>UR209</custom1>
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