4.5 Article

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

期刊

ANALYTICAL BIOCHEMISTRY
卷 456, 期 -, 页码 53-60

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ab.2014.04.001

关键词

Pseudo oligonucleotide composition; DNA sequence representation; PseAAC; Global sequence order information; Physicochemical properties; Web server

资金

  1. National Nature Scientific Foundation of China [61202256, 61100092]
  2. Nature Scientific Foundation of Hebei Province [C2013209105]
  3. National Nature Scientific Foundation of China [61202256, 61100092]
  4. Nature Scientific Foundation of Hebei Province [C2013209105]

向作者/读者索取更多资源

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. (C) 2014 Elsevier Inc. All rights reserved.

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