MatrixCatch--a novel tool for the recognition of composite regulatory elements in promoters.
dc.contributor.author | Deyneko, Igor V | |
dc.contributor.author | Kel, Alexander E | |
dc.contributor.author | Kel-Margoulis, Olga V | |
dc.contributor.author | Deineko, Elena V | |
dc.contributor.author | Wingender, Edgar | |
dc.contributor.author | Weiss, Siegfried | |
dc.date.accessioned | 2013-10-08T10:40:39Z | en |
dc.date.available | 2013-10-08T10:40:39Z | en |
dc.date.issued | 2013 | en |
dc.identifier.citation | MatrixCatch--a novel tool for the recognition of composite regulatory elements in promoters. 2013, 14:241 BMC Bioinformatics | en |
dc.identifier.issn | 1471-2105 | en |
dc.identifier.pmid | 23924163 | en |
dc.identifier.doi | 10.1186/1471-2105-14-241 | en |
dc.identifier.uri | http://hdl.handle.net/10033/302967 | en |
dc.description.abstract | Accurate recognition of regulatory elements in promoters is an essential prerequisite for understanding the mechanisms of gene regulation at the level of transcription. Composite regulatory elements represent a particular type of such transcriptional regulatory elements consisting of pairs of individual DNA motifs. In contrast to the present approach, most available recognition techniques are based purely on statistical evaluation of the occurrence of single motifs. Such methods are limited in application, since the accuracy of recognition is greatly dependent on the size and quality of the sequence dataset. Methods that exploit available knowledge and have broad applicability are evidently needed. | |
dc.language.iso | en | en |
dc.rights | Archived with thanks to BMC bioinformatics | en |
dc.title | MatrixCatch--a novel tool for the recognition of composite regulatory elements in promoters. | en |
dc.type | Article | en |
dc.contributor.department | Department of Molecular Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany. Igor.Deyneko@helmholtz-hzi.de | en |
dc.identifier.journal | BMC bioinformatics | en |
refterms.dateFOA | 2018-06-12T22:05:54Z | |
html.description.abstract | Accurate recognition of regulatory elements in promoters is an essential prerequisite for understanding the mechanisms of gene regulation at the level of transcription. Composite regulatory elements represent a particular type of such transcriptional regulatory elements consisting of pairs of individual DNA motifs. In contrast to the present approach, most available recognition techniques are based purely on statistical evaluation of the occurrence of single motifs. Such methods are limited in application, since the accuracy of recognition is greatly dependent on the size and quality of the sequence dataset. Methods that exploit available knowledge and have broad applicability are evidently needed. |