A computational technique for prediction and visualization of promoter regions in long human genomic sequences

Abstract

This communication proposes a simple algorithm with high specificity and sensitivity for determining promoter regions in human genomic sequences. This method relies upon non-redundant and experimentally verified promoter data sets form Eukaryotic Promoter Database (EPD) as training parameters. This technique predicts and computationally satisfies the promoter regions in the NCBI annotated database around gene sequences. Keywords: Promoter, CpG islands, transcription start site (TSS), discrete fourier transform/ fast fourier transform (DFT/FFT).