PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions
Author(s) -
Wei Chen,
Xitong Zhang,
Jordan Brooker,
Hao Lin,
Liqing Zhang,
KuoChen Chou
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu602
Subject(s) - autocorrelation , computer science , r package , tuple , sequence (biology) , computation , graphical user interface , interface (matter) , theoretical computer science , computational science , algorithm , parallel computing , programming language , mathematics , biology , discrete mathematics , statistics , genetics , bubble , maximum bubble pressure method
The avalanche of genomic sequences generated in the post-genomic age requires efficient computational methods for rapidly and accurately identifying biological features from sequence information. Towards this goal, we developed a freely available and open-source package, called PseKNC-General (the general form of pseudo k-tuple nucleotide composition), that allows for fast and accurate computation of all the widely used nucleotide structural and physicochemical properties of both DNA and RNA sequences. PseKNC-General can generate several modes of pseudo nucleotide compositions, including conventional k-tuple nucleotide compositions, Moreau-Broto autocorrelation coefficient, Moran autocorrelation coefficient, Geary autocorrelation coefficient, Type I PseKNC and Type II PseKNC. In every mode, >100 physicochemical properties are available for choosing. Moreover, it is flexible enough to allow the users to calculate PseKNC with user-defined properties. The package can be run on Linux, Mac and Windows systems and also provides a graphical user interface.
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