Genealogical inference and more flexible sequence clustering using iterative-PopPUNK.

ABSTRACT: Bacterial genome data are accumulating at an unprecedented speed due to the routine use of sequencing in clinical diagnoses, public health surveillance, and population genetics studies. Genealogical reconstruction is fundamental to many of these uses; however, inferring genealogy from large-scale genome data sets quickly, accurately, and flexibly is still a challenge. Here, we extend an alignment- and annotation-free method, PopPUNK, to increase its flexibility and interpretability across data sets. Our method, iterative-PopPUNK, rapidly produces multiple consistent cluster assignments across a range of sequence identities. By constructing a partially resolved genealogical tree with respect to these clusters, users can select a resolution most appropriate for their needs. We showed the acc

SUBMITTER: Zhao B 

PROVIDER: S-EPMC10519404 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature