title: A brief review of computational gene prediction methods.
abstract: With the development of genome sequencing for many organisms, more and more raw sequences need to be annotated. Gene prediction by computational methods for finding the location of protein coding regions is one of the essential issues in bioinformatics. Two classes of methods are generally adopted: similarity based searches and ab initio prediction. Here, we review the development of gene prediction methods, summarize the measures for evaluating predictor quality, highlight open problems in this area, and discuss future research directions.
authors.affiliation: Biomedical Instrument Institute, Shanghai Jiaotong University, Shanghai 200030, China. zhuowang@sjtu.edu.cn
authors.forename: Zhuo
authors.initials: Z
authors.lastname: Wang
authors.forename: Yazhu
authors.initials: Y
authors.lastname: Chen
authors.forename: Yixue
authors.initials: Y
authors.lastname: Li
mesh_terms: D019295:Computational Biology; D030541:Databases, Genetic; D023281:Genomics; D008957:Models, Genetic; D016415:Sequence Alignment / Q000706:statistics & numerical data; D012984:Software