Abstract
Abstract: Computational analysis imitates the functioning of biological information systems to anticipate and offer novel perspectives on the biological realm. Genome sequencing analysis interactive techniques with the aim of improving the standards of cancer patient, has progressed greatly over the last decades, and is now considered to be one of the major scientific fields that promote innovation in the technology and healthcare sectors. In the field of bioinformatics, the first widespread application of data analysis was the creation of the first collection of systematic data representing the genome sequences of the eukaryotic organisms, termed as the eukaryotic genome, or the "de novo" genome. Tumor suppressor proteins are a class of proteins that are involved in preventing cancer from occurring. Several tumor suppressor proteins have been found to be mutated in certain forms of cancer, resulting in the loss of their tumor suppressing properties. Lung cancer develops when normal lung cells change, or mutate, in a way that alters their natural growth and death cycle, resulting in unregulated cell division that produces too many cells.Deep sequence analysis of non-small cell lung cancer and integrated analysis of gene expression. Understanding the biology of cancer is required to improve patient outcomes. Next-generation sequencing (NGS) is a powerful tool for whole genome characterization, enabling comprehensive exploration and understanding of the complex interactions between genes, proteins and their environment. NGS in the field of oncology is still in its infancy and the wealth of data that it is capable of generating is revolutionizing our understanding of cancer. ORFs have led to many exciting discoveries in the field of oncology, including the identification of tumor suppressor proteins. One of the most exciting recent discoveries is in the field of tumor suppressor proteins. Tumor suppressor proteins are proteins that play a role in the regulation of cell proliferation and division. Mutations in certain tumor suppressor genes cause cancer, and as a result, a great deal of research has gone into the identification of new tumor suppressor genes
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More From: International Journal for Research in Applied Science and Engineering Technology
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