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

Documentation

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