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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Nematode ITS2 Database

Research datakeyboard_double_arrow_right Dataset 18 Jun 2019Publisher:Zenodo
Authors: Workentine, Matthew;

doi: 10.5281/zenodo.3235803 , 10.5281/zenodo.3235802

Nematode ITS2 Database

Abstract

Nematode ITS2 database These are the sequence and taxonomy files for the Nematode ITS2 database. This database was created with markerDB. Please see that repository for full details on the file formats. The main database consists of the "seqs_nr.fasta" and the associated "taxonomy_nr.txt". These contain the non-redundant ITS2 sequences. The database is available in some other common formats used for assigning taxonomy and are listed below. dada2: dada2’s assignTaxonomy function rdp: to train a custom RDP database with the rRDP Bioconductor package (this is pretty much the same as assignTaxonomy) mothur: a fasta file and paired mothur taxonomy file. Works with the Nemabiome pipeline. An alignment is also written out that should work with mothur, but can also be used for other pipelines as needed. idtaxa: a fasta file and taxonomy file for IDTAXA.

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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.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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