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A database for ITS2 sequences from nematodes

Authors: Matthew L. Workentine; Rebecca Chen; Shawna Zhu; Stefan Gavriliuc; Nicolette Shaw; Jill de Rijke; Elizabeth M. Redman; +4 Authors

A database for ITS2 sequences from nematodes

Abstract

Summary Marker gene surveys have a wide variety of applications in species identification, population genetics, and molecular epidemiology. As these methods expand to new types of organisms and additional markers beyond 16S and 18S rRNA genes, comprehensive databases are a critical requirement for proper analysis of these data. Here we present an ITS2 rDNA database for maker gene surveys of both free-living and parasitic nematode populations and the software used to build the database. This is an important resource for researchers working on nematodes and also provides a tool to create ITS2 databases for any given taxonomy. Availability and Implementation The database is available as an interactive web app at https://cooperia.chgi.ucalgary.ca/Nematode_ITS2/ . The full database can also be downloaded from zenodo https://doi.org/10.5281/zenodo.3235802 , and the open source software used to create the database, markerDB is available at https://github.com/ucvm/markerDB/releases/latest .

Country
Canada
Related Organizations
Keywords

Genetic Markers, Nematoda, ITS2, Computational Biology, QH426-470, Amplicon, Database, DNA, Ribosomal Spacer, Databases, Genetic, Genetics, Sequencing, Animals, Software

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    69
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
69
Top 1%
Top 10%
Top 10%
Green
gold