PR-DFT: A Review of the Computational Approach in Prediction of Eukaryotic Promoter Regions

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PR-DFT: A Review of the Computational Approach in Prediction of Eukaryotic Promoter Regions

July 29, 2020 Biological Science 0

Identification of promoters is of great significance for determining transcription site, finding protein
coding regions and annotating the functional structures of genes. Computational prediction of
promoters and subsequent identification of transcriptional site is most sought after research area in
biological science. This communication discusses PR-DFT, a simple algorithm with high specificity
and sensitivity for determining promoter regions in human genomic sequences. This computational
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.

Author(s) Details

Dr. Quazi Mohmmad Alfred
Aliah University, Kolkata, India.

View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/216

 

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