Institute for Applied Biosciences - Department of Genetics


The Ustilago-Community

Flora Banuett - California State University, Long Beach

Christoph Basse - Karlsruher Institut für Technologie

Dominik Begerow - Ruhr-Universität Bonn

Michael Bölker - Universität Marburg

Gunther Döhlemann - Max Planck Institut für Terrestrische Mikrobiologie Marburg

Michael Feldbrügge - Heinrich Heine Universität Düsseldorf

Scott Gold - University of Georgia

Bill Holloman - Weill Cornell Medical College

José Ignacio Ibeas Corcelles - Centro Andaluz de Biología del Desarrollo

Jörg Kämper - Karlsruher Institut für Technologie

Regine Kahmann - Max Planck Institut für Terrestrische Mikrobiologie Marburg

Jim Kronstadt - University of British Columbia Vancouver

Juan Pablo Pardo Vázquez - Universidad Nacional Autónoma de México

Jose Perez-Martin - Centro Nacional de Biotechnología

Michael Perlin - University of Lousville

Jose Ruiz-Herrera - Cinvestav Unidad Irapuato

Barry Saville - University of Toronto at Mississauga

Jan Schirawski - Georg August Universität Göttingen

Gero Steinberg - University of Exeter


Other Links


PubMed is a service of the U.S. National Library of Medicine that includes over 18 million citations from MEDLINE and other life science journals for biomedical articles back to 1948. PubMed includes links to full text articles and other related resources.


Basic Local Alignment Search Tool, finds regions of similarity between biological sequences.


BLAST for Ustilago maydis sequences.


The MIPS Ustilago maydis Genome Database aims to present information on the molecular structure and functional network of the entirely sequenced, filamentous fungus Ustilago maydis.

EZB - Electronic Journals Library

The Elektronische Zeitschriftenbibliothek EZB (Electronic Journals Library) is a service to facilitate the use of scholarly journals on the internet. It offers a fast, structured and unified interface to access full text articles online.


The PlasMapper server automatically generates and annotates plasmid maps using only the plasmid DNA sequence as input. Plasmid sequences up to 20,000 bp may be annotated and displayed. Plasmid figures may be rendered in PNG, JPG, SVG or SVGZ format. PlasMapper supports an extensive array of display options.


An effort to promote the sharing of information, know-how and wisdom among researchers and groups who are working in biology and biological engineering.