Computational Approaches for Gene Prediction: A Comparative Survey

被引:0
|
作者
Al-Turaiki, Israa M. [1 ]
Mathkour, Hassan [1 ]
Touir, Ameur [1 ]
Hammami, Saleh [1 ]
机构
[1] King Saud Univ, Dept Comp Sci, Coll Comp & Informat Sci, Riyadh, Saudi Arabia
来源
INFORMATICS ENGINEERING AND INFORMATION SCIENCE, PT II | 2011年 / 252卷
关键词
Bio-informatics; Gene Prediction; Bio-Computation; Promoter Identification; PROTEIN-CODING REGIONS; APPROXIMATE LOCATIONS; START FINDER; SPLICE SITES; IDENTIFICATION; RECOGNITION; GENOME; MODEL; EXONS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Accurate gene structure prediction plays a fundamental role in functional annotation of genes. The main focus of gene prediction methods is to find patterns in long DNA sequences that indicate the presence of genes. The problem of gene prediction is an important problem in the field of bioinformatics. With the explosive growth of genomic information there is a need for computational approaches that facilitate gene location, structure and functional prediction. In this paper, we survey various computational approaches for gene predictions.
引用
收藏
页码:14 / 25
页数:12
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