z-logo
open-access-imgOpen Access
Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features
Author(s) -
Tze Young Thung,
Murray E. White,
Wei Dai,
Jonathan J. Wilksch,
Rebecca S. Bamert,
Andrea Rocker,
Christopher J. Stubenrauch,
Daniel R. Williams,
Cheng Huang,
Ralf Schittelhelm,
Jeremy J. Barr,
Eleanor Jameson,
Sheena McGowan,
Yanju Zhang,
Jiawei Wang,
Rhys A. Dunstan,
Trevor Lithgow
Publication year - 2021
Publication title -
msystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.931
H-Index - 39
ISSN - 2379-5077
DOI - 10.1128/msystems.00242-21
Subject(s) - component (thermodynamics) , bacteriophage , artificial intelligence , computer science , phage therapy , antimicrobial , virology , biology , computational biology , machine learning , microbiology and biotechnology , physics , genetics , escherichia coli , gene , thermodynamics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom