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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Databases for MyCodentifier: A tool for routine identification of nontuberculous mycobacteria using MGIT enriched shotgun metagenomics.

Authors: Schildkraut, Jodie A.; Coolen, Jordy P.M.; Severin, Heleen; Koenraad, Ellen; Aalders, Nicole; Melchers, Willem J.G.; Hoefsloot, Wouter; +2 Authors

Databases for MyCodentifier: A tool for routine identification of nontuberculous mycobacteria using MGIT enriched shotgun metagenomics.

Abstract

Databases used for MyCodentifier a Nextflow pipeline to identify Mycobacterium tuberculosis complex (MTBC) and Nontuberculous mycobacteria (NTM) species from Next-generation sequencing (NGS) data. Short description: The pipeline is constructed using nextflow as workflow manager running in a docker container. It is able to identify species of MTBC/NTM from positive Mycobacterial Growth Indicator Tube (MGIT) cultures. To do so it uses an hsp65 database for fast identification coupled with a Metagenomic method using centrifuge to identify on genome level. For TB it also is able to identify subspecies. Results are presented in automated pdf and html reports. Databases Name Short Description 20220726_ref.tar.gz 7 major mycobacterial genomes as centrifuge classification database, used for reference-based mapping and genotype resistance prediction 20220726_wgs_centrifuge_db_Radboudumc_MB.tar.gz centrifuge classification database using Tortoli et al 2017 Mycobacterium strains + additional strains genomes.tar.gz 7 major mycobacterial genomes, annotation and Genbank files. Files are paired with 20220726_ref.tar.gz snpEff.tar.gz 7 major mycobacterial genomes annotation models for snpEff. Tortoli_etal_hsp65.tar.gz KMA database of hsp65 gene extractions of the Tortoli et al 2017 Mycobacterium strains. Used in the study: p_compressed+h+v.tar.gz (12/06/2016) Databases available via ftp://ftp.ccb.jhu.edu/pub/infphilo/centrifuge/data or https://ccb.jhu.edu/software/centrifuge/manual.shtml#custom-database MyCodentifier Github: https://jordycoolen.github.io/MyCodentifier/

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Keywords

metagenomics, Nontuberculous mycobacteria (NTM), mycobacteria, identification, bioinformatics, next-generation sequencing (NGS), clinical diagnostics

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selected citations
These citations are derived from selected sources.
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
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1
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27
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