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iNuc-PseKNC

swMATH ID: 16607
Software Authors:
Guo, S. H.; Deng, E. Z.; Xu, L. Q.; Ding, H
Description: iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. Motivation: Nucleosome positioning participates in many cellular activities and plays significant roles in regulating cellular processes. With the avalanche of genome sequences generated in the post-genomic age, it is highly desired to develop automated methods for rapidly and effectively identifying nucleosome positioning. Although some computational methods were proposed, most of them were species specific and neglected the intrinsic local structural properties that might play important roles in determining the nucleosome positioning on a DNA sequence. Results: Here a predictor called ‘iNuc-PseKNC’ was developed for predicting nucleosome positioning in Homo sapiens, Caenorhabditis elegans and Drosophila melanogaster genomes, respectively. In the new predictor, the samples of DNA sequences were formulated by a novel feature-vector called ‘pseudo k-tuple nucleotide composition’, into which six DNA local structural properties were incorporated. It was observed by the rigorous cross-validation tests on the three stringent benchmark datasets that the overall success rates achieved by iNuc-PseKNC in predicting the nucleosome positioning of the aforementioned three genomes were 86.27
Homepage: http://lin.uestc.edu.cn/server/iNuc-PseKNC
Related Software: iRSpot-PseDNC; iRSpot-TNCPseAAC; Pse-in-One; PseKNC; PseAAC-General; iCTX-Type; iPro54-PseKNC; PseAAC-Builder; iSNO-PseAAC; propy; iPPI-Esml; repDNA; iDNA-Methyl; iNuc-PhysChem; Cell-PLoc; iTIS-PseTNC; iAMP-2L; LIBSVM; iHyd-PseAAC; PseAAC
Cited in: 31 Documents

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