EukRef: phylogenetic curation of ribosomal RNA to enhance understanding of eukaryotic diversity and distribution - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2018

EukRef: phylogenetic curation of ribosomal RNA to enhance understanding of eukaryotic diversity and distribution

Javier del Campo
  • Fonction : Auteur
Martin Kolisko
  • Fonction : Auteur
Vittorio Boscaro
  • Fonction : Auteur
Luciana Santoferrara
  • Fonction : Auteur
Ramon Massana
  • Fonction : Auteur
Alastair Simpson
  • Fonction : Auteur
Cedric Berney
  • Fonction : Auteur
Matt Brown
  • Fonction : Auteur
Patrick Keeling
  • Fonction : Auteur
Laura Wegener Parfrey
  • Fonction : Auteur

Résumé

Abstract Environmental sequencing has greatly expanded our knowledge of micro-eukaryotic diversity and ecology by revealing previously unknown lineages and their distribution. However, the value of these data is critically dependent on the quality of the reference databases used to assign an identity to environmental sequences. Existing databases contain errors, and struggle to keep pace with rapidly changing eukaryotic taxonomy, the influx of novel diversity, and computational challenges related to assembling the high-quality alignments and trees needed for accurate characterization of lineage diversity. EukRef ( eukref.org ) is a community driven initiative that addresses these challenges by bringing together taxonomists with expertise spanning the complete eukaryotic tree of life and microbial ecologists that actively use environmental sequencing data for the purpose of developing reliable reference databases across the diversity of microbial eukaryotes. EukRef organizes and facilitates rigorous sequence data mining and annotation by providing protocols, guidelines and tools to do so.
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Dates et versions

hal-03971662 , version 1 (03-02-2023)
hal-03971662 , version 2 (04-02-2023)

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Javier del Campo, Martin Kolisko, Vittorio Boscaro, Luciana Santoferrara, Ramon Massana, et al.. EukRef: phylogenetic curation of ribosomal RNA to enhance understanding of eukaryotic diversity and distribution. 2023. ⟨hal-03971662v1⟩
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