Find Resistance with ShortBRED

This tool allows you to detect and quantify the presence of antibiotic resistance (AR) genes by running DIAMOND with a database consisting of peptide marker sequences which represent the genes of interest. This marker database can be downloaded using the tool Download Resistance Database. The Find Resistance with ShortBRED tool works similarly to the quantify step of ShortBRED, a public bioinformatics pipeline and resource. To learn more about the ShortBRED-Quantify tool [Kaminski et al., 2015], see http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004557.

Find Resistance with ShortBRED quantifies the presence of Antibiotic Resistance (AR) genes in a sample of NGS short reads. It is possible to output a sequence list containing all the input reads which contained a marker (each read in the output is annotated with metadata describing the phenotype detected in the read).

To start the tool, go to: Metagenomics | Drug Resistance Analysis | Find Resistance with ShortBRED.

The tool accepts a nucleotide sequence or sequence list as input.

In the next dialog (figure 8.6), several parameters are available:

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Figure 8.6: References and search parameters.

The Find Resistance with ShortBRED tool will output an abundance table, an optional report, and an optional sequence list: the abundance table summarizes the abundance of each marker, i.e., it reports the number of times a given marker is found in the input reads. The abundance is also reported in units of RPKM, referred to as the normalized abundance, which are calculated in the same way as is done by ShortBRED-Quantify. It is possible to aggregate the abundance by gene name and resistance phenotype to get the abundance at each of these levels.

The optional report output summarizes the number of detected AR genes, the number of reads and the number of unique reads for each resistance phenotype. It also contains some general information about the input sample and the AR marker database.

The optional sequence list output contains all reads from the input sample which were found to contain one of the AR marker sequences. Each read in the sequence list is annotated with metadata describing the phenotype detected in the read.