Open AccessMethods combine to decode the biology of tuberculosis
Author(s) -
Amber Dance
Publication year - 2022
Publication title -
nature
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 15.993
H-Index - 1226
eISSN - 1476-4687
pISSN - 0028-0836
DOI - 10.1038/d41586-022-01260-7
Subject(s) - host (biology) , computational biology , mycobacterium tuberculosis , nanotechnology , tuberculosis , biology , chemistry , computer science , genetics , materials science , medicine , pathology