iNuc-PseKNC
iNuc-PseKNC predicts nucleosome positioning by using pseudo k-tuple nucleotide composition (PseKNC) that integrates six local DNA structural properties to identify nucleosome locations in Homo sapiens, Caenorhabditis elegans, and Drosophila melanogaster.
Key Features:
- Pseudo k-tuple nucleotide composition (PseKNC): Integrates six distinct local structural properties of DNA to represent both sequence and local structural information for prediction.
- Cross-species validation: Validated on Homo sapiens, Caenorhabditis elegans, and Drosophila melanogaster with reported accuracies of 86.27%, 86.90%, and 79.97%, respectively.
- Benchmark performance: Demonstrated improved predictive performance through cross-validation on stringent benchmark datasets compared with previous predictors.
Scientific Applications:
- Nucleosome positioning analysis: Aids elucidation of gene expression regulation, chromatin organization, and genomic functions relevant to epigenetics, genomics, and molecular biology.
Methodology:
Encodes DNA sequences using pseudo k-tuple nucleotide composition that incorporates six local structural properties and assesses predictive performance via cross-validation on benchmark datasets.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Guo SH, et al. iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. Bioinformatics. 2014; 30:1522-9. doi: 10.1093/bioinformatics/btu083
PMID: 24504871