Jayakishan Meher

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The prediction of protein coding regions in DNA sequences is an important problem in computational biology. It is observed that nucleotides in the protein coding regions or exons of a DNA sequence show period-3 property. Hence identification of the period-3 regions helps in predicting the gene locations within the billions long DNA sequence of eu-karyotic(More)
Cancer classification is an emerging research area in the field of bioinformatics. Gene expression profiles using microarray data play important role in accurate tumor diagnosis. Hence correlation between gene expression profiles to disease through microarray data and its analysis has been an intensive task in molecular biology. As the microarray data have(More)
Microarray data is inherently noisy due to the noise introduced during the preparation of microarray slide. Hence preprocessing of microarray image is an essential to eliminate the background noise in order to enhance the image quality and effective quantification. The objective of this paper is to introduce novel preprocessing techniques such as optimized(More)
Protein structure analysis and prediction is a core area of research in bioinformatics. Prediction of protein secondary structure from amino acid sequences is one of the most important problems in molecular biology, because the structure of a protein is related to its function. Thus high prediction accuracy of protein structure from its sequence is highly(More)
The prediction of protein folding is important because the structure of a protein is related to its function. The study of protein structure therefore produces valuable practical benefits for medicine, agriculture and industry. The understanding of enzyme function allows the design of drugs which inhibit specific enzyme targets for therapeutic purposes.(More)
The first step in gene identification problem based on genomic signal processing is to convert character strings into numerical sequences. These numerical sequences are then analysed spectrally or using digital filtering techniques for the period-3 peaks, which are present in exons (coding areas) and absent in introns (non-coding areas). In this paper, we(More)
— Discrimination of protein coding regions called exons from noncoding regions called introns or junk DNA in eukaryotic cell is a computationally intensive task. But the dimension of the DNA string is huge; hence it requires large computation time. Further the DNA sequences are inherently random and have vast redundancy, hidden regularities, long repeats(More)
Microarray data is inherently noisy due to the noise contaminated from various sources during the preparation of mi-croarray slide and thus it greatly affects the accuracy of the gene expression. How to eliminate the effect of the noise constitutes a challenging problem in microarray analysis. Efficient denoising is often a necessary and the first step to(More)
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