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Full Description
Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it will mostly focus on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes.
The third volume is titled In Silico Life Sciences: Agriculture. It focuses on plant genetic, genomic, transcriptomic, proteomic and metabolomics data. Using examples of new crop diseases-emergence, crop productivity and biotic/abiotic stress tolerance, this book illustrates how bioinformatics can be an integral components of modern day plant science research.
Contents
Proteoinformatic and Agricultural biotechnology research: Applications and challenges.- Impact of Bioinformatics on Plant Science Research and Crop Improvement.- Bioinformatics and Plant Stress Management.- Integration of 'Omics' Approaches to Unravel the Heavy Metal Tolerance in Plants.- Advanced Multivariated Bioinformatic Approaches in Agricultural Studies.- Data measurement, data redundancy and their biological relevance.- Metabolomic approaches in plant research.- Bioinformatics and Medicinal Plant Research: Current Scenario.- Experimental approaches for genome sequencing.- Phylogenetic trees: Applications, Construction and Assessment .- Index.
