title: PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
abstract: The pseudo oligonucleotide composition, or pseudo K-tuple nucleotide composition (PseKNC), can be used to represent a DNA or RNA sequence with a discrete model or vector yet still keep considerable sequence order information, particularly the global or long-range sequence order information, via the physicochemical properties of its constituent oligonucleotides. Therefore, the PseKNC approach may hold very high potential for enhancing the power in dealing with many problems in computational genomics and genome sequence analysis. However, dealing with different DNA or RNA problems may need different kinds of PseKNC. Here, we present a flexible and user-friendly web server for PseKNC (at http://lin.uestc.edu.cn/pseknc/default.aspx) by which users can easily generate many different modes of PseKNC according to their need by selecting various parameters and physicochemical properties. Furthermore, for the convenience of the vast majority of experimental scientists, a step-by-step guide is provided on how to use the current web server to generate their desired PseKNC without the need to follow the complicated mathematical equations, which are presented in this article just for the integrity of PseKNC formulation and its development. It is anticipated that the PseKNC web server will become a very useful tool in computational genomics and genome sequence analysis.
authors.affiliation: School of Sciences, and Center for Genomics and Computational Biology, Hebei United University, Tangshan 063000, China; Gordon Life Science Institute, Belmont, MA 02478, USA. Electronic address: wchen@gordonlifescience.org.
authors.forename: Wei
authors.initials: W
authors.lastname: Chen
authors.affiliation: School of Sciences, and Center for Genomics and Computational Biology, Hebei United University, Tangshan 063000, China.
authors.forename: Tian-Yu
authors.initials: TY
authors.lastname: Lei
authors.affiliation: School of Sciences, and Center for Genomics and Computational Biology, Hebei United University, Tangshan 063000, China.
authors.forename: Dian-Chuan
authors.initials: DC
authors.lastname: Jin
authors.affiliation: Gordon Life Science Institute, Belmont, MA 02478, USA; Key Laboratory for Neuro-Information of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China. Electronic address: hlin@uestc.edu.cn.
authors.forename: Hao
authors.initials: H
authors.lastname: Lin
authors.affiliation: School of Sciences, and Center for Genomics and Computational Biology, Hebei United University, Tangshan 063000, China; Gordon Life Science Institute, Belmont, MA 02478, USA; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia. Electronic address: kcchou@gordonlifescience.org.
authors.forename: Kuo-Chen
authors.initials: KC
authors.lastname: Chou
mesh_terms: D001482:Base Composition; D019295:Computational Biology / Q000379:methods*; D020407:Internet; D009841:Oligonucleotides / Q000737:chemistry*; D014584:User-Computer Interface
chemical_list: D009841:Oligonucleotides
keywords: DNA sequence representation; Global sequence order information; Physicochemical properties; PseAAC; Pseudo oligonucleotide composition; Web server