this work presents a hybrid method for motif discovery in dna sequences. the proposed method called spso-lk, borrows the concept of chebyshev polynomials and uses the stochastic local search to improve the performance of the basic pso algorithm as a motif finder. the chebyshev polynomial concept encourages us to use a linear combination of previously discovered velocities beyond that proposed b...

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...

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...