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
相关论文
共 50 条
[41]   Comparative analysis of machine learning approaches for heatwave event prediction in India [J].
Choudary, V. Ritesh ;
Johnvictor, Anita Christaline ;
Sankar, N. Prem .
SCIENTIFIC REPORTS, 2025, 15 (01)
[42]   Manufacturing Quality Prediction Using Intelligent Learning Approaches: A Comparative Study [J].
Bai, Yun ;
Sun, Zhenzhong ;
Deng, Jun ;
Li, Lin ;
Long, Jianyu ;
Li, Chuan .
SUSTAINABILITY, 2018, 10 (01)
[43]   Collision prediction in roundabouts: a comparative study of extreme value theory approaches [J].
Orsini, Federico ;
Gecchele, Gregorio ;
Gastaldi, Massimiliano ;
Rossi, Riccardo .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2019, 15 (02) :556-572
[44]   A review of connectivity map and computational approaches in pharmacogenomics [J].
Musa, Aliyu ;
Ghoraie, Laleh Soltan ;
Zhang, Shu-Dong ;
Glazko, Galina ;
Yli-Harja, Olli ;
Dehmer, Matthias ;
Haibe-Kains, Benjamin ;
Emmert-Streib, Frank .
BRIEFINGS IN BIOINFORMATICS, 2018, 19 (03) :506-523
[45]   Computational Approaches: A New Frontier in Cancer Research [J].
Srivastava, Shubham ;
Jain, Pushpendra .
COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2024, 27 (13) :1861-1876
[46]   A SURVEY OF COMPUTATIONAL METHODS FOR PROTEIN COMPLEX PREDICTION FROM PROTEIN INTERACTION NETWORKS [J].
Srihari, Sriganesh ;
Leong, Hon Wai .
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2013, 11 (02)
[47]   Computational Approaches for Cancer-Fighting: From Gene Expression to Functional Foods [J].
Monticolo, Francesco ;
Chiusano, Maria Luisa .
CANCERS, 2021, 13 (16)
[48]   Overview of Computational Approaches for Inference of MicroRNA-Mediated and Gene Regulatory Networks [J].
Ristevski, Blagoj .
ADVANCES IN COMPUTERS, VOL 97, 2015, 97 :111-145
[49]   Enhancer target prediction: state-of-the-art approaches and future prospects [J].
Umarov, Ramzan ;
Hon, Chung-Chau .
BIOCHEMICAL SOCIETY TRANSACTIONS, 2023, 51 (05) :1975-1988
[50]   Computational approaches to psychiatry [J].
Stephan, Klaas Enno ;
Mathys, Christoph .
CURRENT OPINION IN NEUROBIOLOGY, 2014, 25 :85-92