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Bioinformatics Approaches for Genomics and Post Genomics Applications of Anticancer Plants

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Anticancer Plants: Mechanisms and Molecular Interactions

Abstract

After the culmination of Human Genome Project in 2003, it was prophesied that the upcoming era in modern biotechnology would pose as a real acid test. While the pre-genomic era was marked by the efforts to sequence the human genome, advancements into the post-genomic era are characterized by the challenge of reaping benefits from these genomic texts. Formidably a large data is generated from high throughput techniques, and it cannot be used efficiently in probing the plant genome and evolution without the aid of bioinformatics. The goal of this field is thus, to provide computational approaches and in silico methodologies for coping with, and interpreting this genomic data to develop new cost-effective, accessible, safe and reliable treatments for diseases such as cancer. A major aspect of cancer research focuses on studying clinically useful plant-derived anticancer agents and promising new plants with anticancer potential. Also, certain agents that have failed in earlier clinical studies are considered for evaluation to obtain novel anticancer drugs using bioinformatics approaches and this field has triggered more interest among researchers in recent years. The aim of this chapter is to merge the sphere of computer-based methods in ‘omics’ technologies with the anticancer analysis of plant sources, and also to cover the sophisticated bioinformatics softwares and tools adopted in the process.

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Mehta, A., Hasija, Y. (2018). Bioinformatics Approaches for Genomics and Post Genomics Applications of Anticancer Plants. In: Akhtar, M., Swamy, M. (eds) Anticancer Plants: Mechanisms and Molecular Interactions. Springer, Singapore. https://doi.org/10.1007/978-981-10-8417-1_12

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