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
An optimized protocol for single nuclei isolation from clin..:
Rousselle, Thomas V
;
McDaniels, Jennifer M
;
Shetty, Amol C
...
The raw sequence data generated in this study were deposited in the Gene Expression Omnibus (GEO) under the accession number GSE195719. The data can be accessed by visiting https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE195719.. , 2022
Link:
http://hdl.handle.net/10713/19211
RT Journal T1
An optimized protocol for single nuclei isolation from clinical biopsies for RNA-seq
UL https://suche.suub.uni-bremen.de/peid=base-ftumarylandhshsl:oai:archive.hshsl.umaryland.edu:10713_19211&Exemplar=1&LAN=DE A1 Rousselle, Thomas V A1 McDaniels, Jennifer M A1 Shetty, Amol C A1 Bardhi, Elissa A1 Maluf, Daniel G A1 Mas, Valeria R PB Springer Nature YR 2022 JF The raw sequence data generated in this study were deposited in the Gene Expression Omnibus (GEO) under the accession number GSE195719. The data can be accessed by visiting https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE195719. LK http://hdl.handle.net/10713/19211 DO http://hdl.handle.net/10713/19211 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)