Detection of Rheumatic Arthritis Disease Based on Genomic Analysis by Applying Wavelet transform

Sunil S, Dr.K B Ramesh, Dr. Vidya Niranjan


In Recent years there is greater advance and innovations in bioinformatics. Bioinformatics is concerned with applying statistical and computational methods and also genomic signal processing techniques for analysis of data determined from sequenced DNA or RNA or Protein. To use genomic signal processing principle for analyze of DNA sequence first the DNA sequences of alphabetic string as to be converted into string of numeric sequence. This paper present the applications of wavelet transform based on the energy levels of approximation and detailed coefficients for sequence analysis with Chargaff’s rule, internucleotide distance to compare two sequence similarities and determine the impact score so that to diagnose the Rheumatic Arthritis(RA).

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