See if it is possible within the framework of 10mins to do something like:
"We have an unknown sample, and spfy loaded with all public E. coli data. We can:
1) get serotype
2) get known VF and AMR
3) get pan-genome composition (eg. is it close to known reference strains? outbreak strains?)
4) identify Stx-type
5) identify markers for the unknown strain, or group of closely related strains
This shows the capabilites of spfy, but also the usefulness for PHAC
This would have to wrap various existing modules:
subtyping for 1) & 2)
James' panseq code
fishers or phylotyper(Matt) to find closely related strains and then compute common markers (5)
Per @chadlaing 's comments:
This would have to wrap various existing modules:
subtyping
for 1) & 2)fishers
orphylotyper
(Matt) to find closely related strains and then compute common markers (5)