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Annotation of Biological Network of Fungus Saccharomyces cerevisiae Using Cytoscape in Systems Biology

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Microbial Genomics in Sustainable Agroecosystems

Abstract

Bioinformatics open software tool Cytoscape is worn for the visualizing and integrating gene expression of molecular interaction networks. Protein-protein interactions form the foundation for an enormous mainstream of cellular events, together with signal transduction and transcriptional regulation. It is implicit to swot analyze the interactions and communications among cellular macromolecules which are fundamental to the indulgent of biological systems. Interactions among proteins have been premeditated all the way during a number of elevated-throughput experiments. It has furthermore been predicted from side to side an assortment of computational process so as to leverage the immense quantity of sequence data which generate in the previous decade. We took into our approach an unfasten based software known as Cytoscape to integrate the biomolecular interaction networks among elevated throughput appearance data and shaped circular arrangement of a cell recitation over all genetic interactions. Circular arrangement of these biological complex pathways were grouped physically and were further categorized on the basis of starting point of their universal functions of indiscriminately selected IDs from SGD.

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Acknowledgment

The person responsible would like to express a gratitude to the Department of CBBI, JIBB, SHUATS, Allahabad, U.P., India, along with Dr. Satyam Khanna, Managing Director, and Rass Biosolution Private Limited, Kanpur, Uttar Pradesh (U.P.), India, who is a senior author contributing to this study and in also in supporting to arrange a vigorous and reasonable research ambience and support.

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Correspondence to Prashant Ankur Jain .

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Jain, P.A., Mishra, V.K., Khanna, S. (2019). Annotation of Biological Network of Fungus Saccharomyces cerevisiae Using Cytoscape in Systems Biology. In: Tripathi, V., Kumar, P., Tripathi, P., Kishore, A., Kamle, M. (eds) Microbial Genomics in Sustainable Agroecosystems. Springer, Singapore. https://doi.org/10.1007/978-981-32-9860-6_7

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