Powered by OpenAIRE graph
Found an issue? Give us feedback
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/ ZENODOarrow_drop_down
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 . 2018
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 . 2018
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 . 2018
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 . 2018
License: CC BY
Data sources: ZENODO
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Innuendo Whole Genome And Core Genome Mlst Schemas And Datasets For Salmonella Enterica

Authors: Mirko Rossi; Mickael Santos Da Silva; Bruno Filipe Ribeiro-Gonçalves; Diogo Nuno Silva; Miguel Paulo Machado; Mónica Oleastro; Vítor Borges; +11 Authors

Innuendo Whole Genome And Core Genome Mlst Schemas And Datasets For Salmonella Enterica

Abstract

Dataset As reference dataset, 4,307 public available draft or complete genome assemblies and available metadata of Salmonella enterica have been downloaded from public repositories (i.e. EnteroBase, National Center for Biotechnology Information NCBIand The European Bioinformatics Institute EMBL-EBI; accessed April 2017). The collection includes 1,465 S. Enteritidis, 2,442 S.Typhimurium, and 400 of other frequently isolated serovars in Europe. The dataset includes also 153 S.Typhimurium variant 4,[5],12:i:- collected from different Italian regions between 2012 and 2014 during a surveillance study and 129 S. Enteritidis belonging to the INNUENDO sequence dataset (PRJEB27020). The 282 additional genomes were assembled using INNUca v3.1. File 'Metadata/Senterica_metadata.txt' contains metadata information for each strain including source classification, host taxa, year and country of isolation, serotype, classical pubMLST 7 genes ST classification, and source/method of the assembly. The directory 'Genomes' contains all the 4,589 assemblies of the strains listed in 'Metadata/Senterica_metadata.txt'. Please note that genomes marked as 'Enterobase' have been downloaded from Enterobase webpage http://enterobase.warwick.ac.uk. Schema creation and validation The wgMLST schema from EnteroBase have been downloaded and curated using chewBBACA AutoAlleleCDSCuration for removing all alleles that are not coding sequences (CDS). The quality of the remain loci have been assessed using chewBBACA Schema Evaluation and loci with single alleles, those with high length variability (i.e. if more than 1 allele is outside the mode +/- 0.05 size) and those present in less than 0.5% of the Salmonella genomes in EnteroBase at the date of the analysis (April 2017) have been removed. The wgMLST schema have been further curated, excluding all those loci detected as “Repeated Loci” and loci annotated as “non-informative paralogous hit (NIPH/ NIPHEM)” or “Allele Larger/ Smaller than length mode (ALM/ ASM)” by the chewBBACA Allele Calling engine in more than 1% of a dataset composed by 4,589 Salmonella genomes. File 'Schemas/Senterica_wgMLST_ 8558_schema.tar.gz' contains the wgMLST schema formatted for chewBBACA and includes a total of 8,558 loci. File 'Schemas/Senterica_cgMLST_ 3255_listGenes.txt' contains the list of genes from the wgMLST schema which defines the cgMLST schema. The cgMLST schema consists of 3,255 loci and has been defined as the loci present in at least the 99% of the 4,589 Salmonella genomes. Genomes have no more than 2% of missing loci. File 'Allele_Profles/Senterica_wgMLST_alleleProfiles.tsv' contains the wgMLST allelic profile of the 4,589 Salmonella genomes of the dataset. Please note that missing loci follow the annotation of chewBBACA Allele Calling software. File 'Allele_Profles/Senterica_cgMLST_alleleProfiles.tsv' contains the cgMLST allelic profile of the 4,589 Salmonella genomes of the dataset. Please note that missing loci are indicated with a zero. Additional citations The schema are prepared to be used with chewBBACA. When using the schema in this repository please cite also: Silva M, Machado M, Silva D, Rossi M, Moran-Gilad J, Santos S, Ramirez M, Carriço J. chewBBACA: A complete suite for gene-by-gene schema creation and strain identification. 15/03/2018. M Gen 4(3): doi:10.1099/mgen.0.000166 http://mgen.microbiologyresearch.org/content/journal/mgen/10.1099/mgen.0.000166 Salmonella enterica schema is a derivation of EnteroBase Salmonella EnteroBase wgMLST schema. When using the schema in this repository please cite also: Alikhan N-F, Zhou Z, Sergeant MJ, Achtman M (2018) A genomic overview of the population structure of Salmonella. PLoS Genet 14 (4):e1007261. https://doi.org/10.1371/journal.pgen.1007261

The isolates' genomes raw sequence data produced within the activity of the INNUENDO project were submitted to the European Nucleotide Archive (ENA) database and are publicly available under the project accession number PRJEB27020. When using the schemas, the assemblies or the allele profiles please include the project number in your publication. The research from the INNUENDO project has received funding from European Food Safety Authority (EFSA), grant agreement GP/EFSA/AFSCO/2015/01/CT2 (New approaches in identifying and characterizing microbial and chemical hazards) and from the Government of the Basque Country. The conclusions, findings, and opinions expressed in this repository reflect only the view of the INNUENDO consortium members and not the official position of EFSA nor of the Government of the Basque Country. EFSA and the Government of the Basque Country are not responsible for any use that may be made of the information included in this repository. The INNUENDO consortium thanks the Austrian Agency for Health and Food Safety Limited for participating in the project by providing strains. The consortium thanks all the researchers and the authorities worldwide which are contributing by submitting the raw sequences of the bacterial strains in public repositories. The project was possible thanks to the support of CSC- Tieteen tietotekniikan keskus Oy (https://www.csc.fi/) and of INCD (http://www.incd.pt/, funded by FCT and FEDER under the project 22153-01/SAICT/2016) for providing access to cloud computing resources.

  • BIP!
    Impact byBIP!
    citations
    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).
    1
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 196
    download downloads 11
  • 196
    views
    11
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
196
11
Related to Research communities