Genome Chaos: Rethinking Genetics, Evolution, and Molecular Medicine transports readers from Mendelian Genetics to 4D-genomics, building a case for genes and genomes as distinct biological entities, and positing that the genome, rather than individual genes, defines system inheritance and represents a clear unit of selection for macro-evolution. In authoring this thought-provoking text, Dr. Heng invigorates fresh discussions in genome theory and helps readers reevaluate their current understanding of human genetics, evolution, and new pathways for advancing molecular and precision medicine. - Bridges basic research and clinical application and provides a foundation for re-examining the results of large-scale omics studies and advancing molecular medicine - Gathers the most pressing questions in genomic and cytogenomic research - Offers alternative explanations to timely puzzles in the field - Contains eight evidence-based chapters that discuss 4d-genomics, genes and genomes as distinct biological entities, genome chaos and macro-cellular evolution, evolutionary cytogenetics and cancer, chromosomal coding and fuzzy inheritance, and more

The Nonlinear Workbook provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. The book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, more than 100 worked out examples and 150 ready to run programs are included. New topics added to the fifth edition are Langton's ant, chaotic data communication, self-controlling feedback, differential forms and optimization, T-norms and T-conorms with applications.

Dr. John Sanford, a retired Cornell Professor, shows in Genetic Entropy and the Mystery of the Genome that the Primary Axiom is false. The Primary Axiom is the foundational evolutionary premise - that life is merely the result of mutations and natural selection. In addition to showing compelling theoretical evidence that whole genomes can not evolve upward, Dr. Sanford presents strong evidence that higher genomes must in fact degenerate over time. This book strongly refutes the Darwinian concept that man is just the result of a random and pointless natural process.

Colin Farrelly contemplates the various ethical and social quandaries raised by the genetic revolution. Recent biomedical advances such as genetic screening, gene therapy and genome editing might be used to promote equality of opportunity, reproductive freedom, healthy aging, and the prevention and treatment of disease. But these technologies also raise a host of ethical questions: Is the idea of “genetically engineering” humans a morally objectionable form of eugenics? Should parents undergoing IVF be permitted to screen embryos for the sex of their offspring? Would it be ethical to alter the rate at which humans age, greatly increasing longevity at a time when the human population is already at potentially unsustainable levels? Farrelly applies an original virtue ethics framework to assess these and other challenges posed by the genetic revolution. Chapters discuss virtue ethics in relation to eugenics, infectious and chronic disease, evolutionary biology, epigenetics, happiness, reproductive freedom and longevity. This fresh approach creates a roadmap for thinking ethically about technological progress that will be of practical use to ethicists and scientists for years to come. Accessible in tone and compellingly argued, this book is an ideal introduction for students of bioethics, applied ethics, biomedical sciences, and related courses in philosophy and life sciences.

Life, Hoffman argues, emerges from the random motions of atoms filtered through the sophisticated structures of our evolved machinery. People are essentially giant assemblies of interacting nanoscale machines.

There is growing enthusiasm in the scientific community about the prospect of mapping and sequencing the human genome, a monumental project that will have far-reaching consequences for medicine, biology, technology, and other fields. But how will such an effort be organized and funded? How will we develop the new technologies that are needed? What new legal, social, and ethical questions will be raised? Mapping and Sequencing the Human Genome is a blueprint for this proposed project. The authors offer a highly readable explanation of the technical aspects of genetic mapping and sequencing, and they recommend specific interim and long-range research goals, organizational strategies, and funding levels. They also outline some of the legal and social questions that might arise and urge their early consideration by policymakers.

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.