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Nucleic Acids Research Advance Access published online on November 1, 2009
Nucleic Acids Research, doi:10.1093/nar/gkp910
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© The Author(s) 2009. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Database Issue

FlyTF: improved annotation and enhanced functionality of the Drosophila transcription factor database

Ulrike Pfreundt1,2, Daniel P. James1, Susan Tweedie2, Derek Wilson3, Sarah A. Teichmann3 and Boris Adryan1,2,*

1Cambridge Systems Biology Centre, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, 2Department of Genetics, University of Cambridge CB2 3EH and 3Laboratory of Molecular Biology, Hills Road, Cambridge CB2 0QH, UK

*To whom correspondence should be addressed. Tel: +44 1223 760209; Fax: +44 1223 760241; Email: b.adryan{at}gen.cam.ac.uk

Received August 14, 2009. Revised September 21, 2009. Accepted October 7, 2009.

FlyTF (http://www.flytf.org) is a database of computationally predicted and/or experimentally verified site-specific transcription factors (TFs) in the fruit fly Drosophila melanogaster. The manual classification of TFs in the initial version of FlyTF that concentrated primarily on the DNA-binding characteristics of the proteins has now been extended to a more fine-grained annotation of both DNA binding and regulatory properties in the new release. Furthermore, experimental evidence from the literature was classified into a defined vocabulary, and in collaboration with FlyBase, translated into Gene Ontology (GO) annotation. While our GO annotations will also be available through FlyBase as they will be incorporated into the genes’ official GO annotation in the future, the entire evidence used for classification including computational predictions and quotes from the literature can be accessed through FlyTF. The FlyTF website now builds upon the InterMine framework, which provides experimental and computational biologists with powerful search and filter functionality, list management tools and access to genomic information associated with the TFs.

The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.


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