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Title:
Positional motif analysis reveals the extent of specificity of protein-RNA interactions observed by CLIP
Authors:
ID
Kuret, Klara
(Author)
ID
Amalietti, Aram-Gustav
(Author)
ID
Jones, D. Marc
(Author)
ID
Capitanchik, Charlotte
(Author)
ID
Ule, Jernej
(Author)
Files:
URL - Source URL, visit
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02755-2
PDF - Presentation file,
download
(14,06 MB)
MD5: 958C3D08EAFBD19D8FFB113C481E8661
Language:
English
Typology:
1.01 - Original Scientific Article
Organization:
KI - National Institute of Chemistry
Publication status:
Published
Publication version:
Version of Record
Publication date:
09.09.2022
Publisher:
BioMed Central
Year of publishing:
2022
Number of pages:
str. 1-34
Numbering:
Vol. 23, [iss. 1]
Source:
Genome biology
PID:
20.500.12556/DiRROS-15807
UDC:
577
ISSN on article:
1474-760X
DOI:
10.1186/s13059-022-02755-2
COBISS.SI-ID:
129713155
Copyright:
© The Author(s) 2022
Note:
Opis vira z dne 17. 11. 2022; Nasl. z nasl. zaslona; Objavljeno na spletu: 9. sep. 2022; Št. članka: 191;
Publication date in DiRROS:
21.11.2022
Views:
975
Downloads:
409
Metadata:
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Record is a part of a journal
Title:
Genome biology
Shortened title:
Genome biol.
Publisher:
BioMed Central
ISSN:
1474-760X
COBISS.SI-ID:
7654228
Document is financed by a project
Funder:
EC - European Commission
Funding programme:
H2020
Project number:
835300
Name:
Multivalent interactions driving RNP dynamics in development and disease
Acronym:
RNPdynamics
Funder:
WT - Wellcome Trust
Funding programme:
Molecular Basis of Cell Function
Project number:
215593
Name:
RNA-scaffolded RNP condensation, its physiologic regulation, and therapeutic modulation
Funder:
Other - Other funder or multiple funders
Funding programme:
Cancer Research UK
Project number:
FC001110
Funder:
Other - Other funder or multiple funders
Funding programme:
UK Medical Research Council
Project number:
FC001110
Funder:
WT - Wellcome Trust
Project number:
FC001110
Name:
Bioinformatics and Computational Biology Laboratory
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
09.09.2022
Applies to:
Text and Data Mining valid from 2022-09-09 Version of Record valid from 2022-09-09
Secondary language
Language:
Slovenian
Keywords:
biokemija
,
RNK
,
proteini
,
analize
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