Fast and flexible bacterial genomic epidemiology with PopPUNK
New York University · Wellcome Sanger Institute · +7 more institutions
Abstract
The routine use of genomics for disease surveillance provides the opportunity for high-resolution bacterial epidemiology. Current whole-genome clustering and multilocus typing approaches do not fully exploit core and accessory genomic variation, and they cannot both automatically identify, and subsequently expand, clusters of significantly similar isolates in large data sets spanning entire species. Here, we describe PopPUNK ( Pop ulation P artitioning U sing N ucleotide K -mers), a software implementing scalable and expandable annotation- and alignment-free methods for population analysis and clustering. Variable-length k -mer comparisons are used to distinguish isolates’ divergence in shared sequence and…
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Authors
9Topics & keywords
- Biology
- Genomics
- Computational biology
- Genome
- Cluster analysis
- Typing
- Genetics
- Multilocus sequence typing
- Good health and well-being