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Welcome to the Grandeur wiki!
All "good" bioinformatic tools and workflows are trying to solve a problem. At UPHL, we ran into a problem that there was not a workflow that met our sequencing analysis needs for bacterial isolates.
We needed a bioinformatic workflow to replace the bench experiments for
- E. coli O and H characterization
- Shigella CadA and IpaH characterization
- Vibrio speciation
- Salmonella serotyping
We also needed something to assist our local epidemiologists in outbreak investigations
- Species agnostic core genome alignment and phylogenetic trees
- SNP matrices
- AMR gene identification
Grandeur is species-agnostic at its core, although certain organisms undergo some species-specific processes. Future directions include speciation of unknown isolates. Our initial testing seemed promising, but we have not tested this use enough to make it widely available.
Grandeur includes a de novo assembly workflow, but can also run on contig/fasta files generated from other workflows. Our most common files are those generated from PHOENIX, CDC's ARLN workflow, and DONUT FALLS, a UPHL-generated nanopore sequencing workflow.
If you are running into bugs or other issues, please post in the issues tracker.
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- amrfinderplus
- bbduk
- blastn
- blobtools_*
- core_genome_evaluation
- circulocov
- datasets_*
- drprg
- elgato
- emmtyper
- fastani
- fastp
- fastqc
- heatcluster
- iqtree2
- kaptive
- kleborate
- kraken2
- mash_*
- mashtree
- mlst
- multiqc
- mykrobe
- panaroo
- pbptyper
- phytreeviz
- plasmidfinder
- prokka
- quast
- seqsero2
- serotypefinder
- shigatyper
- snp_dists
- spades