Structural Complexity of DNA Sequence | Zendy

ChengYuan Liou | Zendy; Shen-Han Tseng | Zendy; WeiChen Cheng | Zendy; Huai-Ying Tsai | Zendy

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Structural Complexity of DNA Sequence

Author(s) -

ChengYuan Liou,

Shen-Han Tseng,

WeiChen Cheng,

Huai-Ying Tsai

Publication year - 2013

Publication title -

computational and mathematical methods in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.462

H-Index - 48

eISSN - 1748-6718

pISSN - 1748-670X

DOI - 10.1155/2013/628036

Subject(s) - sequence (biology) , computer science , computational biology , rule based machine translation , entropy (arrow of time) , consistency (knowledge bases) , theoretical computer science , dna sequencing , dna , context (archaeology) , algorithm , data mining , biology , genetics , artificial intelligence , paleontology , physics , quantum mechanics

In modern bioinformatics, finding an efficient way to allocate sequence fragments with biological functions is an important issue. This paper presents a structural approach based on context-free grammars extracted from original DNA or protein sequences. This approach is radically different from all those statistical methods. Furthermore, this approach is compared with a topological entropy-based method for consistency and difference of the complexity results.

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