PPNet: Identifying Functional Association Networks by Phylogenetic Profiling of Prokaryotic Genomes-Reference-Cited by-同舟云学术

PPNet: Identifying Functional Association Networks by Phylogenetic Profiling of Prokaryotic Genomes

Published:2023-02-14 Issue:1 Volume:11 Page:
ISSN:2165-0497
Container-title:Microbiology Spectrum
language:en
Short-container-title:Microbiol Spectr

Author:

Li Yangjie¹²³⁴,Ma Bin¹²³,Hua Kexin¹²³,Gong Huimin¹²³,He Rongrong¹²³,Luo Rui¹²³^ORCID,Bi Dingren¹²³,Zhou Rui¹²³^ORCID,Langford Paul R.⁵^ORCID,Jin Hui¹²³^ORCID

Affiliation:

1. State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China

2. College of Animal Medicine, Huazhong Agricultural University, Wuhan, China

3. Hubei Provincial Key Laboratory of Preventive Veterinary Medicine, Huazhong Agricultural University, Wuhan, China

4. College of Informatics, Huazhong Agricultural University, Wuhan, China

5. Section of Paediatric Infectious Disease, Imperial College London, St Mary’s Campus, London, United Kingdom

Abstract

This study developed PPNet, the first tool that can be used to infer large-scale bacterial functional association networks of a single species. PPNet includes a method for assigning the uniqueness of a bacterial strain using the average nucleotide identity and the average nucleotide coverage.

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

Link

https://journals.asm.org/doi/pdf/10.1128/spectrum.03871-22

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