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Journal Article

TransFind--predicting transcriptional regulators for gene sets

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons50380

Kielbasa,  S. M.
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50500

Roider,  H. G.
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50613

Vingron,  M.
Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Kielbasa.pdf
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Citation

Kielbasa, S. M., Klein, H., Roider, H. G., Vingron, M., & Blüthgen, N. (2010). TransFind--predicting transcriptional regulators for gene sets. Nucleic Acids Research, 38 Suppl, W275-W280. doi:doi:10.1093/nar/gkq438.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-7ABE-5
Abstract
The analysis of putative transcription factor binding sites in promoter regions of coregulated genes allows to infer the transcription factors that underlie observed changes in gene expression. While such analyses constitute a central component of the in-silico characterization of transcriptional regulatory networks, there is still a lack of simple-to-use web servers able to combine state-of-the-art prediction methods with phylogenetic analysis and appropriate multiple testing corrected statistics, which returns the results within a short time. Having these aims in mind we developed TransFind, which is freely available at http://transfind.sys-bio.net/.