ABSTRACT
Evaluation of significant bioinformatics advances for exon prediction from its inception is discussed in this chapter. It is necessary to annotate more and more raw sequences with the growth of genome sequencing for many species. Gene prediction using computational methods to locate exon segments remains the most important problem of bioinformatics. In the early days, gene prediction involved painstaking experiments on living cells and organisms. Recombining many dissimilar genes using statistical analysis on a definite chromosome might define their order. A genetic map can be created using the data from several trials to specify an approximate known gene location relatively. With the current availability of several computational resources to research communities, exon prediction has become a key problem in bioinformatics.
This chapter also presents the review of literature starting with the biological background of genomic sequence analysis followed by the gene and early development of genetics. Moreover, various digital signal processing (DSP)-based techniques, adaptive algorithms for DNA analysis, and motivations for our research work are discussed, followed by conclusions.
