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Reinhard Hehl

Researcher at Braunschweig University of Technology

Publications -  56
Citations -  7054

Reinhard Hehl is an academic researcher from Braunschweig University of Technology. The author has contributed to research in topics: Gene & Reporter gene. The author has an hindex of 27, co-authored 54 publications receiving 6798 citations. Previous affiliations of Reinhard Hehl include University of California, Berkeley & Agricultural Research Service.

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TRANSFAC®: transcriptional regulation, from patterns to profiles

TL;DR: 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.
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The product of the tobacco mosaic virus resistance gene N: Similarity to toll and the interleukin-1 receptor

TL;DR: The sequence similarity of N, Toll, and IL-1R suggests that N mediates rapid gene induction and TMV resistance through a Toll-IL-1-like pathway.
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TRANSFAC: an integrated system for gene expression regulation

TL;DR: The TRANSFAC content has been enhanced by information about training sequences used for the construction of nucleotide matrices as well as by data on plant sites and factors, and the database has been extended by two new modules.
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The TRANSFAC system on gene expression regulation.

TL;DR: The TRANSFAC database on transcription factors and their DNA-binding sites and profiles has been quantitatively extended and supplemented by a number of modules that give information about pathologically relevant mutations in regulatory regions and transcription factor genes (PathoDB), scaffold/matrix attached regions (S/MARt DB), signal transduction and gene expression sources (CYTOMER).
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AthaMap: an online resource for in silico transcription factor binding sites in the Arabidopsis thaliana genome

TL;DR: The Arabidopsis thaliana genome was screened for putative transcription factor binding sites and the underlying data were imported into the newly developed AthaMap database, which will be a valuable resource for generating models on gene expression regulation.