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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
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 . 2021
License: CC BY
Data sources: ZENODO
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BactPrep: A user-friendly whole-genome sequencing analysis platform for the detection of homologous recombination and horizontal gene transfer in bacteria - Sample Dataset

Authors: Xu, Ruijie;

BactPrep: A user-friendly whole-genome sequencing analysis platform for the detection of homologous recombination and horizontal gene transfer in bacteria - Sample Dataset

Abstract

This is the dataset used as the sample dataset for the pipeline BactPrep. This dataset consists of 218 Streptococcus pneumoniae PMEN1 WGS assemblies collected from the year 1984 - 2008 from 22 unique countries globally. The raw sequencing data was originally published in the work: Rapid pneumococcal evolution in response to clinical interventions (doi: 10.1371/journal.ppat.1002745) under the bioproject PRJEB2085. We have assembled the raw sequences records with the following steps: 1) raw reads were first quality checked using fastQC 0.11.9; 2) adapters and low quality reads were removed using Trimmomatic 0.39 with parameter “ILLUMINACLIP:TruSeq2-PE.fa:2:30:10:2:keepBothReads LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36”; 3) trimmed reads were error-corrected and assembled into WGS assemblies using SPAdes 3.15.0 with parameters "--careful --mismatch-correction”.

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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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