PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions

W Chen, X Zhang, J Brooker, H Lin, L Zhang… - …, 2015 - academic.oup.com
W Chen, X Zhang, J Brooker, H Lin, L Zhang, KC Chou
Bioinformatics, 2015academic.oup.com
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 …
Abstract
Summary: 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.
Availability and implementation: The package is freely available at: http://lin.uestc.edu.cn/server/pseknc .
Contact:  chenweiimu@gmail.com or lqzhang@vt.edu or kcchou@gordonlifescience.org .
Supplementary information:  Supplementary data are available at Bioinformatics online.
Oxford University Press
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