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Transcription factor and microRNA motif discovery: The Amadeus platform and a compendium of metazoan target sets

    • School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel
    • 1 These authors contributed equally to this work.
    • 2 Corresponding author. E-mail [email protected]; fax 972-3-640-5384.
Published April 14, 2008. Vol 18 Issue 7, pp. 1180-1189. https://doi.org/10.1101/gr.076117.108
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Abstract

We present a threefold contribution to the computational task of motif discovery, a key component in the effort of delineating the regulatory map of a genome: (1) We constructed a comprehensive large-scale, publicly-available compendium of transcription factor and microRNA target gene sets derived from diverse high-throughput experiments in several metazoans. We used the compendium as a benchmark for motif discovery tools. (2) We developed Amadeus, a highly efficient, user-friendly software platform for genome-scale detection of novel motifs, applicable to a wide range of motif discovery tasks. Amadeus improves upon extant tools in terms of accuracy, running time, output information, and ease of use and is the only program that attained a high success rate on the metazoan compendium. (3) We demonstrate that by searching for motifs based on their genome-wide localization or chromosomal distributions (without using a predefined target set), Amadeus uncovers diverse known phenomena, as well as novel regulatory motifs.

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