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  • 1
    Keywords: Bioinformatics ; Genetics ; Human Genetics ; Agriculture ; Bioinformatics ; Genetics and Genomics ; Human Genetics ; Agriculture ; Springer eBooks
    Description / Table of Contents: Introduction to biological data -- Computers and bioinformatics -- Sequence biological databases -- Biological databases -- Other biological databases -- Nucleic acid sequencing -- Tools and methods in analysis of simple sequences -- Tools and methods in analysis of complex sequences -- Structural bioinformatics -- Protein structure annotations -- Introduction to functional bioinformatics -- Biological networks – tools, methods and analysis -- Metabolomics -- Drug discovery: concepts and approaches -- Drug designing methods and analysis -- Molecular molecular docking -- Insilico pcr -- Modeling and optimization of molecular bio-systems to generate predictive models -- Index
    Abstract: 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 mostly focuses 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. Unlike other bioinformatics books which are mostly theoretical, this book provides practical examples for the readers on state-of-the-art open source tools to solve biological problems. Flow charts of experiments, graphical illustrations, and mock data are included for quick reference. Volume I is therefore an ideal companion for students and early stage professionals wishing to master this blooming field
    Pages: XIV, 405 p. 193 illus., 186 illus. in color. : online resource.
    ISBN: 9783030026349
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  • 2
    Keywords: Bioinformatics ; Genetics ; Human Genetics ; Agriculture ; Bioinformatics ; Genetics and Genomics ; Human Genetics ; Agriculture ; Springer eBooks
    Description / Table of Contents: 1. Driving forces of Bioinformatics -- 2. Genetic association from RFLPs to millions of variant markers – Unravelling the genetic complexity of diseases -- 3. Diagnostic revolution post-Human Genome Sequence project: High throughput technologies and Bioinformatics -- 4. Genomic revolution driven Cancer Research -- 5. Chromosomal Microarray in the New High Throughput Technological and Bioinformatic Era -- 6. Finding a Needle in a Haystack: Variant Effect Predictor (VEP) to Prioritize Candidate Variants from Millions -- 7. Clinical Strategies for Developing Next-Generation Cancer Precision Medicine -- 8. Dental stem cells in regenerative medicine: Emerging trends and prospects in the era of bioinformatics -- 9. Multiple Analyte Profiling Technology (xMAP) coupled with Functional Bioinformatics Strategies: Potential Applications in Protein Biomarker Profiling in Autoimmune Inflammatory Diseases -- 10. Design and Development of Small Molecules from Somatic, Stem Cell Reprogramming and Therapy -- 11. Molecular Modeling and drug design techniques in Microbial Drug Discovery -- 12 -- Combinatorial designing of novel lead molecules towards the putative drugs targets of extreme drug resistant Mycobacterium tuberculosis: a future insight for molecular medicine -- Index
    Abstract: 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 focuses 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. Our second title of this volume set In Silico Life Sciences: Medicine provides hands-on experience in analyzing high throughput molecular data for the diagnosis, prognosis, and treatment of monogenic or polygenic human diseases. The key concepts in this volume include risk factor assessment, genetic tests and result interpretation, personalized medicine, and drug discovery. This volume is expected to train readers in both single and multi-dimensional biological analysis using open data sets, and provides a unique learning experience through clinical scenarios and case studies
    Pages: XV, 309 p. 75 illus., 72 illus. in color. : online resource.
    Edition: 1st ed. 2019.
    ISBN: 9783030183752
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  • 3
    Keywords: Bioinformatics ; Genetics ; Plant breeding ; Agriculture ; Human Genetics ; Bioinformatics ; Genetics and Genomics ; Plant Breeding/Biotechnology ; Agriculture ; Human Genetics ; Springer eBooks
    Description / Table of 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 €˜Ómicś€™ 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
    Abstract: 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
    Pages: XV, 218 p. 52 illus., 39 illus. in color. : online resource.
    Edition: 1st ed. 2019.
    ISBN: 9783030193188
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