Ines Liebich
University of Göttingen
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Publication
Featured researches published by Ines Liebich.
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 | 2001
Edgar Wingender; Xin Chen; Ellen Fricke; Robert Geffers; Reinhard Hehl; Ines Liebich; Mathias Krull; Volker Matys; Holger Michael; R. Ohnhäuser; M. Prüß; Frank Schacherer; S. Thiele; S. Urbach
The TRANSFAC database on transcription factors and their DNA-binding sites and profiles (http://www.gene-regulation.de/) has been quantitatively extended and supplemented by a number of modules. These modules give information about pathologically relevant mutations in regulatory regions and transcription factor genes (PathoDB), scaffold/matrix attached regions (S/MARt DB), signal transduction (TRANSPATH) and gene expression sources (CYTOMER). Altogether, these distinct database modules constitute the TRANSFAC system. They are accompanied by a number of program routines for identifying potential transcription factor binding sites or for localizing individual components in the regulatory network of a cell.
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 | 2006
Anatolij Potapov; Ines Liebich; Jürgen Dönitz; Knut Schwarzer; Nicole Sasse; Torsten Schoeps; Torsten Crass; Edgar Wingender
EndoNet is a new database that provides information about the components of endocrine networks and their relations. It focuses on the endocrine cell-to-cell communication and enables the analysis of intercellular regulatory pathways in humans. In the EndoNet data model, two classes of components span a bipartite directed graph. One class represents the hormones (in the broadest sense) secreted by defined donor cells. The other class consists of the acceptor or target cells expressing the corresponding hormone receptors. The identity and anatomical environment of cell types, tissues and organs is defined through references to the CYTOMER® ontology. With the EndoNet user interface, it is possible to query the database for hormones, receptors or tissues and to combine several items from different search rounds in one complex result set, from which a network can be reconstructed and visualized. For each entity, a detailed characteristics page is available. Some well-established endocrine pathways are offered as showcases in the form of predefined result sets. These sets can be used as a starting point for a more complex query or for obtaining a quick overview. The EndoNet database is accessible at .
Genome Research | 2002
Matthias Frisch; Kornelie Frech; Andreas Klingenhoff; Kerstin Cartharius; Ines Liebich; Thomas Werner
Nucleic Acids Research | 2002
Ines Liebich; Jürgen Bode; Ingmar Reuter; Edgar Wingender
german conference on bioinformatics | 2000
Matthias Frisch; Kornelie Frech; Andreas Klingenhoff; Kerstin Quandt; Ines Liebich; Thomas Werner
german conference on bioinformatics | 2001
Ines Liebich; Maik Christensen; Edgar Wingender
german conference on bioinformatics | 1999
Ines Liebich; Jürgen Bode; Edgar Wingender