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Blockclust: efficient clustering and classification of non-coding rnas from short Read RNA-seq profiles 

German conference on bioinformatics 2014 Videm, Pavankumar; Rose, Dominic; Costa, Fabrizio; Backofen, Rolf
Sequence and secondary structure analysis can be used to assign putative functions to non-coding RNAs. However sequence information is changed by post-transcriptional modifications and secondary structure is only a proxy for the true 3D conformation of the RNA polymer. In order to tackle these issues we can extract a ...

Lightweight Comparison of RNAs Based on Exact Sequence-Structure Matches 

German Conference on Bioinformatics Heyne, Steffen; Will, Sebastian; Beckstette, Michael; Backofen, Rolf
Specific functions of RNA molecules are often associated with different motifs in the RNA structure. The key feature that forms such an RNA motif is the combination of sequence and structure properties. In this paper we introduce a new RNA sequence-structure comparison method which maintains exact matching substructures. ...

Structure Local Multiple Alignment of RNA 

German Conference on Bioinformatics Otto, Wolfgang; Will, Sebastian; Backofen, Rolf
Today, RNA is well known to perform important regulatory and catalytic function due to its distinguished structure. Consequently, state-of-the-art RNA multiple alignment algorithms consider structure as well as sequence information. However, existing tools neglect the important aspect of locality. Notably, locality in ...

Shape-based barrier estimation for RNAs 

German Conference on Bioinformatics 2010 Bogomolov, Sergiy; Mann, Martin; Voß, Björn; Podelski, Andreas; Backofen, Rolf
The ability of some RNA molecules to switch between different metastable conformations plays an important role in cellular processes. In order to identify such molecules and to predict their conformational changes one has to investigate the refolding pathways. As a qualitative measure of these transitions, the barrier ...

Feature based representation and detection of transcription factor binding sites 

German Conference on Bioinformatics 2004, GCB 2004 Pudimat, Rainer; Schukat-Talamazzini, Ernst-Günter; Backofen, Rolf
The prediction of transcription factor binding sites is an important problem, since it reveals information about the transcriptional regulation of genes. A commonly used representation of these sites are position specific weight matrices which show weak predictive power. We introduce a feature-based modelling approach, ...

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Author

Backofen, Rolf (5)
Will, Sebastian (2)Beckstette, Michael (1)Bogomolov, Sergiy (1)Costa, Fabrizio (1)Heyne, Steffen (1)Mann, Martin (1)Otto, Wolfgang (1)Podelski, Andreas (1)Pudimat, Rainer (1)... View More

Subject

Bayesian networks (1)gene expression (1)stochastic modelling (1)transcription factor binding sites (1)... View More

Date Issued

2008 (2)2004 (1)2010 (1)2014 (1)

Has File(s)

Yes (5)

About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.