I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
The application potential of machine learning and genomics ..:
Prihoda, David
;
Maritz, Julia M.
;
Klempir, Ondrej
...
Natural Product Reports. 38 (2021) 6 - p. 1100-1108 , 2021
Link:
https://doi.org/10.1039/d0np00055h
RT Journal T1
The application potential of machine learning and genomics for understanding natural product diversity, chemistry, and therapeutic translatability
UL https://suche.suub.uni-bremen.de/peid=cr-10.1039_d0np00055h&Exemplar=1&LAN=DE A1 Prihoda, David A1 Maritz, Julia M. A1 Klempir, Ondrej A1 Dzamba, David A1 Woelk, Christopher H. A1 Hazuda, Daria J. A1 Bitton, Danny A. A1 Hannigan, Geoffrey D. PB Royal Society of Chemistry (RSC) YR 2021 SN 0265-0568 SN 1460-4752 JF Natural Product Reports VO 38 IS 6 SP 1100 OP 1108 LK http://dx.doi.org/https://doi.org/10.1039/d0np00055h DO https://doi.org/10.1039/d0np00055h SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)