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Several computational frameworks and workflows that recover genomes from prokaryotes, eukaryotes and viruses from metagenomes exist. Yet, it is difficult for scientists with little bioinformatics experience to evaluate quality, annotate genes, dereplicate, assign taxonomy and calculate relative abundance and coverage of genomes belonging to different domains. MuDoGeR is a user‐friendly tool tailored...
Background De novo prediction of Transcription Factor Binding Sites (TFBS) using computational methods is a difficult task and it is an important problem in Bioinformatics. The correct recognition of TFBS plays an important role in understanding the mechanisms of gene regulation and helps to develop new drugs. Results We here present Memetic Framework for Motif Discovery (MFMD), an algorithm that...
Even in today's smart grid arena, service restoration continues to be an important issue for distribution system operation. Service restoration problem, that emerges after the faulted areas have been identified and isolated, involves network reconfiguration in order to minimize both the number of out-of-service loads and number of switching operations (the objectives of the service restoration problem)...
Power system controllers are typically designed using trial-and-error techniques, which may require large effort and time from the part of the designer to find a satisfactory solution. This work proposes an algorithm to perform a simultaneous and coordinated tuning of the controllers (PSSs) in an automatic form. To perform this tuning, the algorithm uses an optimization technique based on ant colony...
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