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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="normal" font="default" size="100%">Mohamed, M.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Sabot, François</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Varoqui, M.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Mugat, B.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Audouin, K.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Pelisson, A.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Fiston-Lavier, A. S.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Chambeyron, S.</style>
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      <titles>
        <title>TrEMOLO : accurate transposable element allele frequency estimation using long-read sequencing data combining assembly and mapping-based approaches</title>
        <secondary-title>Genome Biology</secondary-title>
      </titles>
      <pages>63 [20 ]</pages>
      <keywords>
        <keyword>Genome</keyword>
        <keyword>Software</keyword>
        <keyword>Transposable element calling</keyword>
        <keyword>Long-read DNA</keyword>
        <keyword>sequencing</keyword>
        <keyword>Nanopore sequencing</keyword>
        <keyword>Transposable element allelic frequency</keyword>
        <keyword>Haplotypes</keyword>
        <keyword>Structural variation</keyword>
      </keywords>
      <dates>
        <year>2023</year>
      </dates>
      <call-num>fdi:010087606</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Genome Biology</full-title>
      </periodical>
      <isbn>1474-760X</isbn>
      <accession-num>ISI:000964185700001</accession-num>
      <number>1</number>
      <electronic-resource-num>10.1186/s13059-023-02911-2</electronic-resource-num>
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          <url>https://www.documentation.ird.fr/hor/fdi:010087606</url>
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          <url>https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2023-06/010087606.pdf</url>
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      <volume>24</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>Transposable Element MOnitoring with LOng-reads (TrEMOLO) is a new software that combines assembly- and mapping-based approaches to robustly detect genetic elements called transposable elements (TEs). Using high- or low-quality genome assemblies, TrEMOLO can detect most TE insertions and deletions and estimate their allele frequency in populations. Benchmarking with simulated data revealed that TrEMOLO outperforms other state-of-the-art computational tools. TE detection and frequency estimation by TrEMOLO were validated using simulated and experimental datasets. Therefore, TrEMOLO is a comprehensive and suitable tool to accurately study TE dynamics. TrEMOLO is available under GNU GPL3.0 at https://github.com/Drosophila GenomeEvolution/TrEMOLO.</abstract>
      <custom6>020 ; 122 ; 084</custom6>
      <custom1>UR232 / UR226</custom1>
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