| Literature DB >> 26999001 |
Matthias Scholz1, Doyle V Ward2, Edoardo Pasolli1, Thomas Tolio1, Moreno Zolfo1, Francesco Asnicar1, Duy Tin Truong1, Adrian Tett1, Ardythe L Morrow3, Nicola Segata1.
Abstract
Identifying microbial strains and characterizing their functional potential is essential for pathogen discovery, epidemiology and population genomics. We present pangenome-based phylogenomic analysis (PanPhlAn; http://segatalab.cibio.unitn.it/tools/panphlan), a tool that uses metagenomic data to achieve strain-level microbial profiling resolution. PanPhlAn recognized outbreak strains, produced the largest strain-level population genomic study of human-associated bacteria and, in combination with metatranscriptomics, profiled the transcriptional activity of strains in complex communities.Entities:
Mesh:
Year: 2016 PMID: 26999001 DOI: 10.1038/nmeth.3802
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547