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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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Bacterial Training Dataset For Galaxy Training Network Tutorials On Genome Assembly

Authors: Gladman, Simon; Seemann, Torsten; Bulach, Dieter;

Bacterial Training Dataset For Galaxy Training Network Tutorials On Genome Assembly

Abstract

This training dataset is from an imaginary Staphylococcus aureus bacterium with a miniature genome. There is a reference genome in various formats as well as some fastq reads of a closely related but also imaginary mutant strain. It is a useful dataset for demonstrating: de novo genome assembly read mapping and variant calling genome annotation The files included are: wildtype.fna: the reference genome sequence of the wildtype strain in fasta format (a header line, then the nucleotide sequence of the genome.) wildtype.gff: the reference genome sequence of the wildtype strain in general feature format (a list of features - one feature per line, then the nucleotide sequence of the genome.) wildtype.gbk: the reference genome sequence in genbank format. mutant_R1.fastq and mutant_R2.fastq: Fastq sequence reads of a closely related mutant strain. The reads are paired-end. Each read is 150 bases long. The number of bases sequenced is equivalent to 19x the genome sequence of the wildtype strain. (Read coverage 19x - rather low!).

Keywords

Galaxy training dataset

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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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influence
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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impulse
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