Abstract
In the beginning of the twenty-first century the research pace has taken a new step with the use of sophisticated laboratory technology that allowed biologists to collect and interpret data faster. The vast volumes of data in the form of DNA, protein sequences, and proteomics are now at our fingertips. The presence of flood of biological data in the form of digital information implies that many of the tasks in biology are now tasks in computing. Bioinformatics is an interdisciplinary tool that originally arose from utilitarian purpose of introducing order into the flood of data generated by biologists using modern technologies of molecular biology. Bioinformatics uses biological information to understand biology. It uses the application of computational tools to analyze the information associated with biological molecules on a vast scale and has now strongly established itself as a discipline in molecular biology. Bioinformatics tools guide us in designing the laboratory experiment more efficiently. The current chapter describes various computational tools to analyze proteomics and genomics data.
Author contributed equally with all other contributors.
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PhD fellowship to RK and SS by Indian Institute of Technology Guwahati is acknowledged. RK and SS wrote the manuscript. VKD edited the draft.
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Kumar, R., Singh, S., Dubey, V.K. (2015). Bioinformatics Tools to Analyze Proteome and Genome Data. In: Sablok, G., Kumar, S., Ueno, S., Kuo, J., Varotto, C. (eds) Advances in the Understanding of Biological Sciences Using Next Generation Sequencing (NGS) Approaches. Springer, Cham. https://doi.org/10.1007/978-3-319-17157-9_11
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DOI: https://doi.org/10.1007/978-3-319-17157-9_11
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