Progress in Gene Prediction: Principles and Challenges

Srabanti      Maji; Deepak      Garg

doi:10.2174/1574893611308020011

Abstract

Bioinformatics is a promising and innovative research field in 21st century. Automatic gene prediction has been an actively researched field of bioinformatics. Despite a high number of techniques specifically dedicated to bioinformatics problems as well as many successful applications, we are in the beginning of a process to massively integrate the aspects and experiences in the different core subjects such as biology, medicine, computer science, engineering, chemistry, physics, and mathematics. Presently, a large number of gene identification tools are based on computational intelligence approaches. Here, we have discussed the existing conventional as well as computational methods to identify gene(s) and various gene predictors are compared. The paper includes some drawbacks of the presently available methods and also, the probable guidelines for future directions are discussed.

Keywords: Bioinformatics, content sensor, DNA, dynamic programming, gene identification, neural networks, splice site, SVM, Transcriptomics, Genomics, Genomics, Arabidopsis, Eukaryotes, Fuzzy System