Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomics

Background Viruses are ubiquitous biological entities, estimated to be the largest reservoirs of unexplored genetic diversity on Earth. Full functional characterization and annotation of newly discovered viruses requires tools to enable taxonomic assignment, the range of hosts, and biological proper...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	BMC biology Jg. 19; H. 1; S. 5 - 11
Hauptverfasser:	Lu, Congyu, Zhang, Zheng, Cai, Zena, Zhu, Zhaozhong, Qiu, Ye, Wu, Aiping, Jiang, Taijiao, Zheng, Heping, Peng, Yousong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 14.01.2021 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Accuracy Alignment Analysis Annotations Bacteria Bacterial infections Bioinformatics Biological properties Biomedical and Life Sciences Computational biology Computer applications Computer programs CRISPR Datasets Gaussian model Gaussian processes Genetic diversity Genomes Genomics Host prediction Host-virus relationships Identification and classification Life Sciences Metagenomics Methodology Methodology Article Methods Phages Predictions Prokaryotic viruses Software Software development tools Taxonomy Virome Viruses China Metagenomics Prokaryotic viruses Virome Bioinformatics Gaussian model Host prediction
ISSN:	1741-7007, 1741-7007
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!