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
Droplet digital PCR (ddPCR) vs quantitative real-time PCR (..:
Arvia, Rosaria
;
Sollai, Mauro
;
Pierucci, Federica
...
Journal of Virological Methods. 246 (2017) - p. 15-20 , 2017
Link:
https://doi.org/10.1016/j.jviromet.2017.04.003
RT Journal T1
Droplet digital PCR (ddPCR) vs quantitative real-time PCR (qPCR) approach for detection and quantification of Merkel cell polyomavirus (MCPyV) DNA in formalin fixed paraffin embedded (FFPE) cutaneous biopsies
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jviromet.2017.04.003&Exemplar=1&LAN=DE A1 Arvia, Rosaria A1 Sollai, Mauro A1 Pierucci, Federica A1 Urso, Carmelo A1 Massi, Daniela A1 Zakrzewska, Krystyna PB Elsevier BV YR 2017 SN 0166-0934 JF Journal of Virological Methods VO 246 SP 15 OP 20 LK http://dx.doi.org/https://doi.org/10.1016/j.jviromet.2017.04.003 DO https://doi.org/10.1016/j.jviromet.2017.04.003 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)