| URL: | http://www.flyreg.org |
| Full name: | Drosophila DNase I Footprint Database |
| Description: | This page provides access to results of the systematic curation and genome annotation of 1,365 DNase I footprints for the fruitfly D. melanogaster.These data have been extracted from 201 primary references and provide a non-redundant set of high quality binding site information for 87 transcription factors and 101 target genes in one of the most important model systems.As of October 2007, the Drosophila DNAse I footprint database has fully merged with the REDfly database to provide a one-stop portal for cis-regulatory data in Drosophila. |
| Year founded: | 2005 |
| Last update: | 2014.4.11 |
| Version: | 2.0 |
| Accessibility: |
Accessible
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| Country/Region: | United Kingdom |
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| University/Institution: | University of Cambridge |
| Address: | Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK. |
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| Country/Region: | United Kingdom |
| Contact name (PI/Team): | Bergman CM |
| Contact email (PI/Helpdesk): | cbergman@gen.cam.ac.uk |
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Drosophila DNase I footprint database: a systematic genome annotation of transcription factor binding sites in the fruitfly, Drosophila melanogaster. [PMID: 15572468]
Despite increasing numbers of computational tools developed to predict cis-regulatory sequences, the availability of high-quality datasets of transcription factor binding sites limits advances in the bioinformatics of gene regulation. Here we present such a dataset based on a systematic literature curation and genome annotation of DNase I footprints for the fruitfly, Drosophila melanogaster. Using the experimental results of 201 primary references, we annotated 1367 binding sites from 87 transcription factors and 101 target genes in the D.melanogaster genome sequence. These data will provide a rich resource for future bioinformatics analyses of transcriptional regulation in Drosophila such as constructing motif models, training cis-regulatory module detectors, benchmarking alignment tools and continued text mining of the extensive literature on transcriptional regulation in this important model organism. |