Vijay Kumar Devabhaktuni

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: CpG dinucleotide clusters also referred to as CpG islands (CGIs) are usually located in the promoter regions of genes in a deoxyribonucleic acid (DNA) sequence. CGIs play a crucial role in gene expression and cell differentiation, as such, they are normally used as gene markers. The earlier CGI identification methods used the rich CpG dinucleotide content(More)
Protein secondary structure prediction is one of the most important research areas in bioinformatics. In this paper, we propose a two-stage protein secondary structure prediction technique, implemented using neural network models. The first neural network stage of the proposed technique associates the input protein sequence to a bin containing its(More)
Low-noise amplifiers (LNAs) are critical components for a wide variety of electronic circuits ranging from aerospace to Bluetooth applications. Typically, in the design phase preceding fabrication, an LNA needs to be designed/tuned for a given set of specifications (e.g. noise figure, power consumption, voltage gain etc.), which tend to be(More)
Microarray technology is considered to be one of the major breakthroughs in bioinformatics for profiling gene-expressions of thousands of genes, simultaneously. Analysis of a microarray image plays an important role in the accurate depiction of gene-expression. Segmentation, the process of separating the foreground from the background, of a microarray(More)
In this paper, we propose a new approach to the analysis and modeling of esophageal manometry (EGM) data to assist the diagnosis of esophageal motility disorders in humans. The proposed approach combines three techniques, namely, wavelet decomposition (WD), nonlinear pulse detection technique (NPDT), and statistical pulse modeling. Specifically, WD is(More)
CpG islands (CGIs), rich in CG dinucleotides, are usually located in the promoter regions of genes in DNA sequences and are used as gene markers. Identification of CGIs plays an important role in the analysis of DNA sequences. In this paper, we propose a new digital signal processing (DSP) based approach using matched filters for the identification of CGIs.(More)
Local distinct structural elements, called motifs, in RNA sequences are strictly correlated with their function. Due to the enormous increase of genomic data in recent times, highly effective computational algorithms are in greater demand for identification of such motifs in RNA sequences. In this work, a digital signal processing approach using(More)