FlyFactorSurvey
FlyFactorSurvey provides DNA binding specificity data for Drosophila transcription factors to support prediction and analysis of transcription factor–cis-regulatory interactions.
Key Features:
- Extensive data collection: Contains over 400 recognition motifs and position weight matrices derived from more than 200 Drosophila transcription factors, including unpublished motifs.
- Binding specificity representations: Stores recognition motifs, position weight matrices (PWMs), and sequence logos for characterized transcription factors.
- Search and data retrieval: Enables retrieval of binding site information in sequence, matrix, and sequence-logo formats for individual TFs, groups of TFs, or the full set of characterized TFs.
- Motif similarity matching: Identifies motifs in the database that share similarity to a query matrix for comparative motif analysis.
- Genomic distribution visualization: Provides distribution data and visualization of motif occurrences across the Drosophila genome.
Scientific Applications:
- Predictive modeling: Supports prediction of potential TF–target interactions and reconstruction of regulatory relationships.
- Comparative genomics: Facilitates comparison of motifs across transcription factors to assess conservation and divergence of regulatory elements.
- Functional genomics: Links motif occurrence data with genomic locations to infer potential regulatory roles of TFs in developmental and disease-related contexts.
Methodology:
Binding specificities were determined using the bacterial one-hybrid system.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 3/27/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Zhu LJ, Christensen RG, Kazemian M, Hull CJ, Enuameh MS, Basciotta MD, Brasefield JA, Zhu C, Asriyan Y, Lapointe DS, Sinha S, Wolfe SA, Brodsky MH. FlyFactorSurvey: a database of Drosophila transcription factor binding specificities determined using the bacterial one-hybrid system. Nucleic Acids Research. 2010;39(suppl_1):D111-D117. doi:10.1093/nar/gkq858. PMID:21097781. PMCID:PMC3013762.