FastMotif: spectral sequence motif discovery
نویسندگان
چکیده
منابع مشابه
Spectral Sequence Motif Discovery
Sequence discovery tools play a central role in several fields of computational bi-ology. In the framework of Transcription Factor binding studies, motif finding algorithms ofincreasingly high performances are required to process the big datasets produced by new high-throughput sequencing technologies. Most existing algorithms are computationally demandingand often cannot suppor...
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The Web-based motif-x program provides a simple interface to extract statistically significant motifs from large data sets, such as MS/MS post-translational modification data and groups of proteins that share a common biological function. Users upload data files and download results using common Web browsers on essentially any Web-compatible computer. Once submitted, data analyses are performed...
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This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome together with the orthologs of these genes from other genomes. Results are presented for regulons in yeasts, worms, and mammals.
متن کاملClustering sequence sets for motif discovery
Most of existing methods for DNA motif discovery consider only a single set of sequences to find an over-represented motif. In contrast, we consider multiple sets of sequences where we group sets associated with the same motif into a cluster, assuming that each set involves a single motif. Clustering sets of sequences yields clusters of coherent motifs, improving signal-to-noise ratio or enabli...
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0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.04.133 q This document is a collaborative effort. ⇑ Corresponding authors. Tel.: +1 404 413 5703. E-mail addresses: [email protected] (W. Kim), [email protected] (J. Kim), [email protected] (Y. Pa Park). The problem of discovering motifs from protein sequences is a critical and challenging task in the field of bioinformatics...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2015
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btv208