An integrative computational approach to effectively guide experimental identification of regulatory elements in promoters.
dc.contributor.author | Deyneko, Igor V | |
dc.contributor.author | Weiss, Siegfried | |
dc.contributor.author | Leschner, Sara | |
dc.date.accessioned | 2013-08-14T13:38:04Z | |
dc.date.available | 2013-08-14T13:38:04Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | An integrative computational approach to effectively guide experimental identification of regulatory elements in promoters. 2012, 13:202 BMC Bioinformatics | en_GB |
dc.identifier.issn | 1471-2105 | |
dc.identifier.pmid | 22897887 | |
dc.identifier.doi | 10.1186/1471-2105-13-202 | |
dc.identifier.uri | http://hdl.handle.net/10033/298245 | |
dc.description.abstract | Transcriptional activity of genes depends on many factors like DNA motifs, conformational characteristics of DNA, melting etc. and there are computational approaches for their identification. However, in real applications, the number of predicted, for example, DNA motifs may be considerably large. In cases when various computational programs are applied, systematic experimental knock out of each of the potential elements obviously becomes nonproductive. Hence, one needs an approach that is able to integrate many heterogeneous computational methods and upon that suggest selected regulatory elements for experimental verification. | |
dc.language.iso | en | en |
dc.rights | Archived with thanks to BMC bioinformatics | en_GB |
dc.subject.mesh | Algorithms | en_GB |
dc.subject.mesh | Computational Biology | en_GB |
dc.subject.mesh | Gene Expression | en_GB |
dc.subject.mesh | Neoplasms | en_GB |
dc.subject.mesh | Nucleotide Motifs | en_GB |
dc.subject.mesh | Promoter Regions, Genetic | en_GB |
dc.subject.mesh | Salmonella | en_GB |
dc.subject.mesh | Sequence Analysis, DNA | en_GB |
dc.title | An integrative computational approach to effectively guide experimental identification of regulatory elements in promoters. | en |
dc.type | Article | en |
dc.contributor.department | Molecular Immunology, Helmholtz Centre for Infection Research, Inhoffenstr, 7, 38124 Braunschweig, Germany. Igor.Deyneko@helmholtz-hzi.de | en_GB |
dc.identifier.journal | BMC bioinformatics | en_GB |
refterms.dateFOA | 2018-06-13T15:51:15Z | |
html.description.abstract | Transcriptional activity of genes depends on many factors like DNA motifs, conformational characteristics of DNA, melting etc. and there are computational approaches for their identification. However, in real applications, the number of predicted, for example, DNA motifs may be considerably large. In cases when various computational programs are applied, systematic experimental knock out of each of the potential elements obviously becomes nonproductive. Hence, one needs an approach that is able to integrate many heterogeneous computational methods and upon that suggest selected regulatory elements for experimental verification. |