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Microbial Sequence Analysis and Loci-based Typing pipeline

The microbial sequence analysis and loci-based typing pipeline (microSALT) is used to analyse microbial samples. It produces a quality control of the sample, determines a sample's organism specific sequence type, and its resistance pattern. microSALT also provides a database storage solution and report generation of these results.

microSALT uses a combination of python, sqLite and flask. Python is used for the majority of functionality, the database is handled through sqLite and the front-end is handled through flask. All analysis activity by microSALT requires a SLURM cluster.

• yes | bash <(curl https://raw.githubusercontent.com/Clinical-Genomics/microSALT/master/install.sh)
• cp configExample.json $HOME/.microSALT/config.json
• vim $HOME/.microSALT/config.json

Copy the configuration file to microSALTs hidden home directory, or copy the configuration file anywhere and direct the envvar MICROSALT_CONFIG to it. See example:

cp configExample.json $HOME/.microSALT/config.json

or

cp configExample.json /MY/FAV/FOLDER/config.json
export MICROSALT_CONFIG=/MY/FAV/FOLDER/config.json

Then edit the fields to match your environment.

• microSALT analyse contains functions to start sbatch job(s) & produce output to folders['results']. Afterwards the parsed results are uploaded to the SQL back-end and produce reports (HTML), which are then automatically e-mailed to the user.
• microSALT utils contains various functionality, including generating the sample description json, manually adding new reference organisms and re-generating reports.

microSALT will automatically download & use the MLST definitions for any organism on pubMLST (https://pubmlst.org/databases/). Other definitions may be used, as long as they retain the same format.

microSALT will automatically download & use the resistance genes of resFinder (https://cge.cbs.dtu.dk/services/data.php). Any definitions will work, as long as they retain the same formatting.

• A slurm enabled HPC
• A (clarity) LIMS server

• Conda ( https://www.anaconda.com/distribution/ )
• Python 3.6
• sqLite Service ( https://www.sqlite.org/download.html )

This repository follows the Github flow approach to adding updates. For more information, see https://guides.github.com/introduction/flow/

• Isak Sylvin - Lead developer
• Emma Sernstad - Accreditation ready reports
• Tanja Normark - Various issues
• Maya Brandi - Various issues