-
Notifications
You must be signed in to change notification settings - Fork 2
Home
Welcome to the home of tbtAMR
the newest member of the tAMR
family of tools - cousin of abritAMR
tbtAMR
was developed to address the need for a data-driven and flexible solution to inferring DST for M. tuberculosis in a clinical and public health laboratory.
tbtAMR
is a very simple idea to meet a very specific question. That is generate genomic DST results that are suitable for reporting in a clinical setting. In order to facillitate this users are able to supply at a minimum a vcf file (annotated with snpEff) and either leverage a default mutational catalougue and criteria. Or provide their own catalogues and intepretative criteria in csv format. This means that there is no need for a developer to update logic or databases, which makes updates and therefore reverification much more straightforward and user-firendly in a CPHL setting. In addition, with additional dependencies, if required DST can also be reported from paired-end reads.
Created in BioRender.com
Ultimately the new tbtAMR
was born out of a need to have lightweight tool that could very easily slip into existing pipelines with few dependencies and very little overhead in terms of maintenance. At its core - it does not matter what sequencing technology is used - as long as there is a vcf file that is annotated correctly (for detailed information about vcf specifications please look here and here).
By default the assumption is that the format of the vcf file is correct and that annotation has been undertaken by snpEff
in order to be compatible with the format in which variants are described in WHO catalogue version 2. If you want to use a different annotation format you will need to make sure that the catalogue of mutations you use is formatted in the same way. There is more about this in the Customising your inputs
section.
tbtAMR
is not
- A database or catalogue of mutations (although it can take these as inputs)
- For any sequences that are NOT M. tuberculosis
- A tool to identify relationships between sequences or samples
- A report generator -
tbtAMR
provides results in a way that can be easily incorporated into LIMS.
For detailed instructions for installation, basic usage and use of your own custom criteria check out the links on the right