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ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2017
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 . 2017
License: CC BY
Data sources: ZENODO
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(Annotation Names) Mmetsp Re-Assemblies

Authors: Johnson, Lisa K.; Alexander, Harriet; Brown, C. Titus;

(Annotation Names) Mmetsp Re-Assemblies

Abstract

Corresponding .csv table of annotation names for all MMETSP (columns) by transcript ID (rows) in the Trinity assembly files (https://doi.org/10.5281/zenodo.251828), generated from the dammit pipeline (https://github.com/camillescott/dammit). One annotation name was chosen for each transcript ID by sorting by e-value (if < 1e-05) then choosing the best (lowest) e-value. Some transcripts were dropped because there was no 'Name' entry in the .gff or e-value < 1e-05. The Marine Microbial Eukaryotic Transcriptome Sequencing Project (MMETSP) data set contains cultured samples of pelagic and endosymbiotic marine eukaryotic species representing more than 40 phyla (Keeling et al. 2014). Methods for the de novo transcriptome assembly are described in the Eel pond khmer protocols (Brown et al. 2015). Scripts available on github: https://github.com/dib-lab/dib-MMETSP References: C. Titus Brown, Camille Scott, and Leigh Sheneman. 2015. The Eel Pond mRNAseq Protocol. https://khmer-protocols.readthedocs.io/en/ctb/mrnaseq/ Keeling et al. 2014. The Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP): Illuminating the Functional Diversity of Eukaryotic Life in the Oceans through Transcriptome Sequencing. http://dx.doi.org/10.1371/journal.pbio.100188

Related Organizations
Keywords

microbial, marine, annotations, sequencing, transcriptome, eukaryotic

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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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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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