Document Details

Document Type : Article In Journal 
Document Title :
Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences
Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences
 
Document Language : English 
Abstract : With the avalanche of DNA/RNA sequences generated in the post-genomic age, it is urgent to develop automated methods for analyzing the relationship between the sequences and their functions. Towards this goal, a series of sequence-based methods have been proposed and applied to analyze various character-unknown DNA/RNA sequences in order for in-depth understanding their action mechanisms and processes. Compared with the classical sequence-based methods, the pseudo nucleotide composition or PseKNC approach developed very recently has the following advantages: (1) it can convert length-different DNA/RNA sequences into dimension-fixed digital vectors that can be directly handled by all the existing machine-learning algorithms or operation engines; (2) it can contain the desired features and properties according to the selection or definition of users; (3) it can cover considerable sequence pattern information, both local and global. This minireview is focused on the concept of pseudo nucleotide composition, its development and applications. 
ISSN : 2620-2634 
Journal Name : Molecular BioSystems 
Volume : 11 
Issue Number : 10 
Publishing Year : 1436 AH
2015 AD 
Article Type : Article 
Added Date : Tuesday, April 19, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Wei ChenChen, Wei Investigator chenweiimu@gmail.com
Hao LinLin, Hao Researcher hlin@uestc.edu.cn
Kuo-Chen ChouChou, Kuo-Chen Researcher kcchou@gordonlifescience.org

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