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Rastogi outlines the mathematical and algorithmic workflows used to analyze biological sequences. These methods form the backbone of modern genomics. 1. Sequence Alignment
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Bioinformatics combines biology, computer science, mathematics and statistics to analyze biological data. Rapid advances in high-throughput technologies—next-generation sequencing (NGS), mass spectrometry, high-content imaging—have driven the need for scalable algorithms, robust pipelines, and reproducible analysis. Key goals include sequence analysis, structural modeling, functional annotation, comparative genomics, systems-level modeling, and data integration.
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Rastogi categorizes the impact of these methods into four major domains: 1. Genomics and Gene Mapping
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The book outlines how virtual screening narrows down millions of chemical compounds to a few viable leads. It explains the mechanics of molecular docking, scoring functions, and predicting ADME (Absorption, Distribution, Metabolism, and Excretion) properties. System Biology and Metabolic Pathways
: Neighbor-Joining (NJ) and UPGMA algorithms.
Introduces the interdisciplinary nature of the field and the various biological databases used for information search and retrieval. Better yet, use legal avenues as described above