Published December 8, 2022 | Version 1.0b

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

  • 1. Radboudumc Center for Infectious Diseases, Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, the Netherlands
  • 2. Radboudumc Center for Infectious Diseases, Department of pulmonary diseases, Radboud University Medical Center, Nijmegen, the Netherlands

Description

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/

 

 

Files

Files (460.8 MB)

Name Size
md5:de3d36798d3afa0f3df4d3187355ddac
13.5 MB Download
md5:9f2233f907ba28865cb0523e41ff8c3b
323.1 MB Download
md5:2906e8319a5344d96ff8d03a03be05e2
83.9 MB Download
md5:98f7db4ac860e16bfc3c4577a9002f17
39.9 MB Download
md5:4528cde26142ab4e8f4a4976e47266c2
428.7 kB Download