HEATSTER: A Database and Web Server for Identification and Classification of Heat Stress Transcription Factors in Plants

Author:

Berz Jannik1,Simm Stefan12,Schuster Sebastian3,Scharf Klaus-Dieter1,Schleiff Enrico12,Ebersberger Ingo456

Affiliation:

1. Department of Biosciences, Molecular Cell Biology of Plants, Goethe University, Frankfurt am Main, Germany

2. Frankfurt Institute of Advanced Studies, Department of Life Sciences, Frankfurt, Germany

3. Center for Integrative Bioinformatics Vienna (CIBIV), Max F. Perutz Laboratories, Vienna, Austria

4. Department of Biosciences, Inst. of Cell Biology and Neuroscience, Applied Bioinformatics Group, Goethe University, Frankfurt am Main, Germany

5. Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany

6. LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany

Abstract

Heat stress transcription factors (HSFs) regulate transcriptional response to a large number of environmental influences, such as temperature fluctuations and chemical compound applications. Plant HSFs represent a large and diverse gene family. The HSF members vary substantially both in gene expression patterns and molecular functions. HEATSTER is a web resource for mining, annotating, and analyzing members of the different classes of HSFs in plants. A web-interface allows the identification and class assignment of HSFs, intuitive searches in the database and visualization of conserved motifs, and domains to classify novel HSFs.

Publisher

SAGE Publications

Subject

Applied Mathematics,Computational Mathematics,Computer Science Applications,Molecular Biology,Biochemistry

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