Algorithms for Analysis of Protein Sequences for Cervical Cancer

Abstract

Knowledge of proteomics is a prerequisite for the apprehension of biological newlineprocesses. They help in protein complex identification, cellular development, protein newlineinteraction validation, similarity analysis, and drug design, etc. Experimental newlineapproaches are supplanted by statistical and optimization complexity techniques due newlineto the high cost and time-consuming design of the mission. In recent years, the scale newlineof bioinformatics data has grown rapidly. In a highly susceptible life science area like newlinebioinformatics, having access to a large amount of data is beneficial for more precise newlineanalytics. newlineBioinformatics tools help in the comparison, analysis, and interpretation of genetic newlineand genomic data, as well as in understanding the evolutionary aspects. Protein Data newlineAnalytics (PDA) is the process of identification and understanding of protein newlinesequences, functional, similarity evaluation between the protein, and analysis of newlineprotein interaction network. This knowledge will aid scientists and researchers in their newlineunderstanding of protein structure, which can then be applied to the production of newlinesupplements and molecular functions that characterize life with the dry lab to wet lab newlineevident. newlineThe thesis presents a framework for the analysis of protein sequences, protein newlineinteraction networks, protein functional associations and gene ontology terms. It has newlinefour attempts of research parts. In the first contribution, a framework is developed for newlinethe detection of motif or consensus patterns in protein sequences with improved newlineaccuracy. Further, the second contribution is the evaluation of similarity between gene newlineontology terms by considering a multifactored evaluation comprising of the semantics newlineconcealed in ontology or the information content of terms, and membership of terms newlinewith shortest path analysis. The third contribution is to segregate the invasive and