Comparative analysis of sequence features involved in the recognition of tandem splice sites
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Comparative analysis of sequence features involved in the recognition of tandem splice sites ; volume:9 ; number:1 ; day:30 ; month:4 ; year:2008 ; pages:1-25 ; date:12.2008
BMC genomics ; 9, Heft 1 (30.4.2008), 1-25, 12.2008
- Creator
-
Bortfeldt, Ralf
- Contributor
-
Schindler, Stefanie
Szafranski, Karol
Schuster, Stefan
Holste, Dirk
SpringerLink (Online service)
- DOI
-
10.1186/1471-2164-9-202
- URN
-
urn:nbn:de:1111-2016072742397
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:53 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bortfeldt, Ralf
- Schindler, Stefanie
- Szafranski, Karol
- Schuster, Stefan
- Holste, Dirk
- SpringerLink (Online service)
Other Objects (12)
Sequence features involved in the mechanism of 3' splice junction wobbling
Selection against tandem splice sites affecting structured protein regions
Mechanisms involved in target sequence recognition and integration of human LINE-1 retrotransposons
Mechanisms involved in target sequence recognition and integration of human LINE-1 retrotransposons
Cross-kingdom patterns of alternative splicing and splice recognition
Recognition of DNA Splice Junction via Machine Learning Approaches
SimSpliceEvol: alternative splicing-aware simulation of biological sequence evolution
Deciphering principles of recognition of human immunodeficiency virus (HIV) splice sites
Probabilistic sequence models for image sequence processing and recognition
Probabilistic sequence models for image sequence processing and recognition
A statistical approach for 5′ splice site prediction using short sequence motifs and without encoding sequence data
Investigating the effects of a cryptic splice site in the En2 splice acceptor sequence used in the IKMC knockout-first alleles
Sequence features involved in the mechanism of 3' splice junction wobbling
Selection against tandem splice sites affecting structured protein regions
Mechanisms involved in target sequence recognition and integration of human LINE-1 retrotransposons
Mechanisms involved in target sequence recognition and integration of human LINE-1 retrotransposons
Cross-kingdom patterns of alternative splicing and splice recognition
Recognition of DNA Splice Junction via Machine Learning Approaches
SimSpliceEvol: alternative splicing-aware simulation of biological sequence evolution
Deciphering principles of recognition of human immunodeficiency virus (HIV) splice sites
Probabilistic sequence models for image sequence processing and recognition
Probabilistic sequence models for image sequence processing and recognition
A statistical approach for 5′ splice site prediction using short sequence motifs and without encoding sequence data
Investigating the effects of a cryptic splice site in the En2 splice acceptor sequence used in the IKMC knockout-first alleles
Sequence features involved in the mechanism of 3' splice junction wobbling
Selection against tandem splice sites affecting structured protein regions
Mechanisms involved in target sequence recognition and integration of human LINE-1 retrotransposons
Mechanisms involved in target sequence recognition and integration of human LINE-1 retrotransposons
Cross-kingdom patterns of alternative splicing and splice recognition
Recognition of DNA Splice Junction via Machine Learning Approaches
SimSpliceEvol: alternative splicing-aware simulation of biological sequence evolution
Deciphering principles of recognition of human immunodeficiency virus (HIV) splice sites
Probabilistic sequence models for image sequence processing and recognition
Probabilistic sequence models for image sequence processing and recognition
A statistical approach for 5′ splice site prediction using short sequence motifs and without encoding sequence data