Ingmar Reuter
Braunschweig University of Technology
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Featured researches published by Ingmar Reuter.
Nucleic Acids Research | 2003
Volker Matys; Ellen Fricke; Robert Geffers; Ellen Gößling; Martin Haubrock; Reinhard Hehl; Klaus Hornischer; Dagmar Karas; Alexander E. Kel; Olga V. Kel-Margoulis; Dorothee-U. Kloos; Sigrid Land; Birgit Lewicki-Potapov; Holger Michael; Richard Münch; Ingmar Reuter; Stella Rotert; H. Saxel; Maurice Scheer; S. Thiele; Edgar Wingender
The TRANSFAC database on eukaryotic transcriptional regulation, comprising data on transcription factors, their target genes and regulatory binding sites, has been extended and further developed, both in number of entries and in the scope and structure of the collected data. Structured fields for expression patterns have been introduced for transcription factors from human and mouse, using the CYTOMER database on anatomical structures and developmental stages. The functionality of Match, a tool for matrix-based search of transcription factor binding sites, has been enhanced. For instance, the program now comes along with a number of tissue-(or state-)specific profiles and new profiles can be created and modified with Match Profiler. The GENE table was extended and gained in importance, containing amongst others links to LocusLink, RefSeq and OMIM now. Further, (direct) links between factor and target gene on one hand and between gene and encoded factor on the other hand were introduced. The TRANSFAC public release is available at http://www.gene-regulation.com. For yeast an additional release including the latest data was made available separately as TRANSFAC Saccharomyces Module (TSM) at http://transfac.gbf.de. For CYTOMER free download versions are available at http://www.biobase.de:8080/index.html.
Nucleic Acids Research | 2006
Volker Matys; Olga V. Kel-Margoulis; Ellen Fricke; Ines Liebich; Sigrid Land; A. Barre-Dirrie; Ingmar Reuter; D. Chekmenev; Mathias Krull; Klaus Hornischer; Nico Voss; Philip Stegmaier; Birgit Lewicki-Potapov; H. Saxel; Alexander E. Kel; Edgar Wingender
The TRANSFAC® database on transcription factors, their binding sites, nucleotide distribution matrices and regulated genes as well as the complementing database TRANSCompel® on composite elements have been further enhanced on various levels. A new web interface with different search options and integrated versions of Match™ and Patch™ provides increased functionality for TRANSFAC®. The list of databases which are linked to the common GENE table of TRANSFAC® and TRANSCompel® has been extended by: Ensembl, UniGene, EntrezGene, HumanPSD™ and TRANSPRO™. Standard gene names from HGNC, MGI and RGD, are included for human, mouse and rat genes, respectively. With the help of InterProScan, Pfam, SMART and PROSITE domains are assigned automatically to the protein sequences of the transcription factors. TRANSCompel® contains now, in addition to the COMPEL table, a separate table for detailed information on the experimental EVIDENCE on which the composite elements are based. Finally, for TRANSFAC®, in respect of data growth, in particular the gain of Drosophila transcription factor binding sites (by courtesy of the Drosophila DNase I footprint database) and of Arabidopsis factors (by courtesy of DATF, Database of Arabidopsis Transcription Factors) has to be stressed. The here described public releases, TRANSFAC® 7.0 and TRANSCompel® 7.0, are accessible under .
Nucleic Acids Research | 2000
Edgar Wingender; Xin Chen; Reinhard Hehl; Holger Karas; Ines Liebich; Volker Matys; T. Meinhardt; M. Prüß; Ingmar Reuter; Frank Schacherer
TRANSFAC is a database on transcription factors, their genomic binding sites and DNA-binding profiles (http://transfac.gbf.de/TRANSFAC/). Its content has been enhanced, in particular by information about training sequences used for the construction of nucleotide matrices as well as by data on plant sites and factors. Moreover, TRANSFAC has been extended by two new modules: PathoDB provides data on pathologically relevant mutations in regulatory regions and transcription factor genes, whereas S/MARt DB compiles features of scaffold/matrix attached regions (S/MARs) and the proteins binding to them. Additionally, the databases TRANSPATH, about signal transduction, and CYTOMER, about organs and cell types, have been extended and are increasingly integrated with the TRANSFAC data sources.
Nucleic Acids Research | 2003
Alexander E. Kel; Ellen Gößling; Ingmar Reuter; Evgeny Cheremushkin; Olga V. Kel-Margoulis; Edgar Wingender
MatchTM is a weight matrix-based tool for searching putative transcription factor binding sites in DNA sequences. MatchTM is closely interconnected and distributed together with the TRANSFAC® database. In particular, MatchTM uses the matrix library collected in TRANSFAC® and therefore provides the possibility to search for a great variety of different transcription factor binding sites. Several sets of optimised matrix cut-off values are built in the system to provide a variety of search modes of different stringency. The user may construct and save his/her specific user profiles which are selected subsets of matrices including default or user-defined cut-off values. Furthermore a number of tissue-specific profiles are provided that were compiled by the TRANSFAC® team. A public version of the MatchTM tool is available at: http://www.gene-regulation.com/pub/programs.html#match. The same program with a different web interface can be found at http://compel.bionet.nsc.ru/Match/Match.html. An advanced version of the tool called MatchTM Professional is available at http://www.biobase.de.
Nucleic Acids Research | 1999
T. Heinemeyer; Xi Chen; Holger Karas; Alexander E. Kel; O. V. Kel; Ines Liebich; T. Meinhardt; Ingmar Reuter; Frank Schacherer; Edgar Wingender
TRANSFAC is a database on transcription factors, their genomic binding sites and DNA-binding profiles. In addition to being updated and extended by new features, it has been complemented now by a series of additional database modules. Among them, modules which provide data about signal transduction pathways (TRANSPATH) or about cell types/organs/developmental stages (CYTOMER) are available as well as an updated version of the previously described COMPEL database. The databases are available on the WWW at http://transfac.gbf.de/
Nucleic Acids Research | 2004
Paul J. Kersey; Lawrence Bower; Lorna Morris; Alan Horne; Robert Petryszak; Carola Kanz; Alexander Kanapin; Ujjwal Das; Karine Michoud; Isabelle Phan; Alexandre Gattiker; Tamara Kulikova; Nadeem Faruque; Karyn Duggan; Peter McLaren; Britt Reimholz; Laurent Duret; Simon Penel; Ingmar Reuter; Rolf Apweiler
Integr8 is a new web portal for exploring the biology of organisms with completely deciphered genomes. For over 190 species, Integr8 provides access to general information, recent publications, and a detailed statistical overview of the genome and proteome of the organism. The preparation of this analysis is supported through Genome Reviews, a new database of bacterial and archaeal DNA sequences in which annotation has been upgraded (compared to the original submission) through the integration of data from many sources, including the EMBL Nucleotide Sequence Database, the UniProt Knowledgebase, InterPro, CluSTr, GOA and HOGENOM. Integr8 also allows the users to customize their own interactive analysis, and to download both customized and prepared datasets for their own use. Integr8 is available at http://www.ebi.ac.uk/integr8.
Nucleic Acids Research | 2002
Olga V. Kel-Margoulis; Alexander E. Kel; Ingmar Reuter; Igor Deineko; Edgar Wingender
Originating from COMPEL, the TRANSCompel database emphasizes the key role of specific interactions between transcription factors binding to their target sites providing specific features of gene regulation in a particular cellular content. Composite regulatory elements contain two closely situated binding sites for distinct transcription factors and represent minimal functional units providing combinatorial transcriptional regulation. Both specific factor--DNA and factor--factor interactions contribute to the function of composite elements (CEs). Information about the structure of known CEs and specific gene regulation achieved through such CEs appears to be extremely useful for promoter prediction, for gene function prediction and for applied gene engineering as well. Each database entry corresponds to an individual CE within a particular gene and contains information about two binding sites, two corresponding transcription factors and experiments confirming cooperative action between transcription factors. The COMPEL database, equipped with the search and browse tools, is available at http://www.gene-regulation.com/pub/databases.html#transcompel. Moreover, we have developed the program CATCH for searching potential CEs in DNA sequences. It is freely available as CompelPatternSearch at http://compel.bionet.nsc.ru/FunSite/CompelPatternSearch.html.
Genetic engineering | 1998
Ingmar Reuter; Thomas Werner; Edgar Wingender
In modern molecular biology, the regulation of gene expression is one of the main topics. Genomic information flows through a cascade of different levels of molecular organization (DNA, RNA, protein). Each of them is subjected to specific control mechanisms which operate by regulating the structure and stability and, thus, the functional accessibility of these information carriers.
german conference on bioinformatics | 1998
L. Pickert; Ingmar Reuter; Frank Klawonn; Edgar Wingender
Nucleic Acids Research | 2002
Ines Liebich; Jürgen Bode; Ingmar Reuter; Edgar Wingender