A novel sensitive method for the detection of user-defined compositional bias in biological sequences | Zendy

Igor B. Kuznetsov | Zendy; Seungwoo Hwang | Zendy

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A novel sensitive method for the detection of user-defined compositional bias in biological sequences

Author(s) -

Igor B. Kuznetsov,

Seungwoo Hwang

Publication year - 2006

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/btl049

Subject(s) - computer science , function (biology) , software , algorithm , biological system , pattern recognition (psychology) , data mining , computational biology , artificial intelligence , biology , evolutionary biology , programming language

Most biological sequences contain compositionally biased segments in which one or more residue types are significantly overrepresented. The function and evolution of these segments are poorly understood. Usually, all types of compositionally biased segments are masked and ignored during sequence analysis. However, it has been shown for a number of proteins that biased segments that contain amino acids with similar chemical properties are involved in a variety of molecular functions and human diseases. A detailed large-scale analysis of the functional implications and evolutionary conservation of different compositionally biased segments requires a sensitive method capable of detecting user-specified types of compositional bias.

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