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PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.
Chen, Wei; Lei, Tian-Yu; Jin, Dian-Chuan; Lin, Hao; Chou, Kuo-Chen.
Affiliation
  • Chen W; 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.
  • Lei TY; School of Sciences, and Center for Genomics and Computational Biology, Hebei United University, Tangshan 063000, China.
  • Jin DC; School of Sciences, and Center for Genomics and Computational Biology, Hebei United University, Tangshan 063000, China.
  • Lin H; 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.c
  • Chou KC; 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
Anal Biochem ; 456: 53-60, 2014 Jul 01.
Article in En | MEDLINE | ID: mdl-24732113
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oligonucleotides / Computational Biology / Internet Language: En Journal: Anal Biochem Year: 2014 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oligonucleotides / Computational Biology / Internet Language: En Journal: Anal Biochem Year: 2014 Type: Article