Your browser doesn't support javascript.
loading
A Bioinformatic Ecosystem for Bacteriophage Genomics: PhaMMSeqs, Phamerator, pdm_utils, PhagesDB, DEPhT, and PhamClust.
Gauthier, Christian H; Hatfull, Graham F.
Affiliation
  • Gauthier CH; Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA.
  • Hatfull GF; Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Viruses ; 16(8)2024 Aug 10.
Article in En | MEDLINE | ID: mdl-39205252
ABSTRACT
The last thirty years have seen a meteoric rise in the number of sequenced bacteriophage genomes, spurred on by both the rise and success of groups working to isolate and characterize phages, and the rapid and significant technological improvements and reduced costs associated with sequencing their genomes. Over the course of these decades, the tools used to glean evolutionary insights from these sequences have grown more complex and sophisticated, and we describe here the suite of computational and bioinformatic tools used extensively by the integrated research-education communities such as SEA-PHAGES and PHIRE, which are jointly responsible for 25% of all complete phage genomes in the RefSeq database. These tools are used to integrate and analyze phage genome data from different sources, for identification and precise extraction of prophages from bacterial genomes, computing "phamilies" of related genes, and displaying the complex nucleotide and amino acid level mosaicism of these genomes. While over 50,000 SEA-PHAGES students have primarily benefitted from these tools, they are freely available for the phage community at large.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacteriophages / Genome, Viral / Computational Biology / Genomics Language: En Journal: Viruses Year: 2024 Document type: Article Affiliation country: United States Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacteriophages / Genome, Viral / Computational Biology / Genomics Language: En Journal: Viruses Year: 2024 Document type: Article Affiliation country: United States Country of publication: Switzerland