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PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.

Wei Chen1, Tian-Yu Lei2, Dian-Chuan Jin2

  • 1School of Sciences, and Center for Genomics and Computational Biology, Hebei United University, Tangshan 063000, China; Gordon Life Science Institute, Belmont, MA 02478, USA.

Analytical Biochemistry
|April 16, 2014
PubMed
Summary
This summary is machine-generated.

Pseudo K-tuple nucleotide composition (PseKNC) represents DNA/RNA sequences, preserving order information. A new web server offers flexible PseKNC generation for computational genomics applications.

Keywords:
DNA sequence representationGlobal sequence order informationPhysicochemical propertiesPseAACPseudo oligonucleotide compositionWeb server

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Pseudo K-tuple nucleotide composition (PseKNC) effectively represents DNA/RNA sequences.
  • PseKNC retains crucial sequence order information using physicochemical properties.
  • Existing methods may require problem-specific PseKNC variations.

Purpose of the Study:

  • To introduce a flexible and user-friendly web server for generating various PseKNC modes.
  • To simplify PseKNC generation for experimental scientists without deep mathematical understanding.
  • To provide a valuable tool for computational genomics and genome sequence analysis.

Main Methods:

  • Development of a web server accessible at http://lin.uestc.edu.cn/pseknc/default.aspx.
  • Implementation of parameter selection for customizable PseKNC generation.
  • Inclusion of a step-by-step guide for user-friendly operation.

Main Results:

  • The web server allows users to generate diverse PseKNC modes tailored to specific needs.
  • Physicochemical properties and parameters can be easily selected.
  • The tool facilitates PseKNC generation without complex mathematical derivations.

Conclusions:

  • The PseKNC web server offers a flexible and accessible solution for sequence representation.
  • It is expected to significantly aid researchers in computational genomics.
  • The tool enhances the utility of PseKNC in analyzing genome sequences.