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The massive research effort known as the Human Genome Project is an attempt to record the sequence of the three trillion nucleotides that make up the human genome and to identify individual genes within this sequence. While the basic effort is of course a biological one, the description and classification of sequences also lend themselves naturally to mathematical and statistical modeling. This short textbook on the mathematics of genome analysis presents a brief description of several ways in which mathematics and statistics are being used in genome analysis and sequencing. It will be of interest not only to students but also to professional mathematicians curious about the subject.
Knighting in sequence biology Edward N. Trifonov Genome classification, construction of phylogenetic trees, became today a major approach in studying evolutionary relatedness of various species in their vast - versity. Although the modern genome clustering delivers the trees which are very similar to those generated by classical means, and basic terminology is the same, the phenotypic traits and habitats are not anymore the playground for the classi- cation. The sequence space is the playground now. The phenotypic traits are - placed by sequence characteristics, “words”, in particular. Matter-of-factually, the phenotype and genotype merged, to confusion of both classical and modern p- logeneticists. Accordingly, a completely new vocabulary of stringology, information theory and applied mathematics took over. And a new brand of scientists emerged – those who do know the math and, simultaneously, (do?) know biology. The book is written by the authors of this new brand. There is no way to test their literacy in biology, as no biologist by training would even try to enter into the elite circle of those who masters their almost occult language. But the army of - formaticians, formal linguists, mathematicians humbly (or aggressively) longing to join modern biology, got an excellent introduction to the field of genome cl- tering, written by the team of their kin.
This book provides insights into some of the key achievements made in the study of Lotus japonicus (birdsfoot trefoil), as well as a timely overview of topics that are pertinent for future developments in legume genomics. Key topics covered include endosymbiosis, development, hormone regulation, carbon/nitrogen and secondary metabolism, as well as advances made in high-throughput genomic and genetic approaches. Research focusing on model plants has underpinned the recent growth in plant genomics and genetics and provided a basis for investigations of major crop species. In the legume family Fabaceae, groundbreaking genetic and genomic research has established a significant body of knowledge on Lotus japonicus, which was adopted as a model species more than 20 years ago. The diverse nature of legumes means that such research has a wide potential and agricultural impact, for example, on the world’s protein production.
This book covers information on the economics; botany, taxonomy, and origin; germplasm resources; cytogenetics and nuclear DNA; genetic improvement efforts of scion cultivars; genetic and genomic improvement efforts of rootstocks; genetic and physical mapping; genomic resources; genome and epigenome; regulatory sequences; utility of whole-genome sequencing and gene editing in trait dissection; flowering and juvenility; cold hardiness and dormancy; fruit color development; fruit acidity and sugar content; metabolomics; biology and genomics of the microbiome; apple domestication; as well as other ‘omics’ opportunities and challenges for genetic improvement of the apple. The cultivated apple (Malus x domestica Borkh.) is one of the most important tree fruit crops of temperate regions of the world. It is widely cultivated and grown in North America, Europe, and Asia. The apple fruit is a highly desirable fruit due to its flavor, sugar and acid content, metabolites, aroma, as well as its overall texture and palatability. Furthermore, it is a rich source of important nutrients, including antioxidants, vitamins, and dietary fiber.
A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.
The period from the 1920s to the present is marked by the rise of eugenics, the expansion and hardened enforcement of immigration laws, legal apartheid, the continuance of race pseudoscience, and the rise of human and civil rights discourse in response. Eugenics programmes in the early 20th century focused on sterilization and evolved into unimaginable horrors with the Nazi regime in Germany. Countries in Europe and across the Americas have used immigration policies to shape the racial composition of their territories. Legal apartheid has been slowly dismantled in the United States and South Africa yet continues to have enduring consequences. Eugenics today persists in various permutations of race science. Leaders and activists have drawn from civil and human rights discourses to fight back against the persistence of racial inequalities and racialized discourses in the 21st century. We can look back on history and see that the Holocaust was a tragedy of historic proportions, yet the tradition of scientific racism that led to the Holocaust continues. We can look back and see that the internment of the Japanese during the Second World War was a horrific injustice, yet detention camps filled with Central Americans continue to proliferate in the United States and refugee camps around the world are overflowing. As this volume makes clear, racism is an ideology that is adept at changing with the times, yet never dissipates
A provocative and timely case for how the science of genetics can help create a more just and equal society In recent years, scientists like Kathryn Paige Harden have shown that DNA makes us different, in our personalities and in our health—and in ways that matter for educational and economic success in our current society. In The Genetic Lottery, Harden introduces readers to the latest genetic science, dismantling dangerous ideas about racial superiority and challenging us to grapple with what equality really means in a world where people are born different. Weaving together personal stories with scientific evidence, Harden shows why our refusal to recognize the power of DNA perpetuates the myth of meritocracy, and argues that we must acknowledge the role of genetic luck if we are ever to create a fair society. Reclaiming genetic science from the legacy of eugenics, this groundbreaking book offers a bold new vision of society where everyone thrives, regardless of how one fares in the genetic lottery.
"The volume deserves our serious attention. The authors have provided us an invaluable primer about the HGP and its implications for the future of American health care." -- Jurimetrics "This book does make a real contribution... in explaining why the genetics revolution holds so much promise and why it is so difficult to bring that promise to fruition." -- The Journal of Legal Medicine "... marked by a forward-looking, analytically and empirically grounded thematic coherence. The editors' carefully crafted template and contributions successfully focus and organize the material." -- Annals of Internal Medicine "Excellent" -- Canadian Medical Association Journal "The editors have done a very good job integrating the contents into a very useful and readable information source." -- Choice "... this highly focused book is a well-written, thoughtful, and insightful consideration of the HGP and is valuable reading for anyone concerned with the future of our country's medical infrastructure." -- Science Books & Films (**Highly recommended) "A distinguished group of scientists, lawyers, and scholars have written a coherent, readable account of the legal, medical, ethical, and policy issues many (if not all) of us will be wrestling with on both a personal and a public level, as a result of current genetic research." -- Library Journal "Each of the contributors is a distinguished authority on the topic. Ethicists, especially, will find well-developed presentation of issues, with exposition of the differing ethical assumptions in tension in the society debate." -- Doody's Health Sciences Book Review Home Page How will the science of gene mapping and gene manipulation affect health care? Leading scholars explore the clinical, ethical, legal, and policy implications of the Human Genome Project for the forms of health care, who delivers it, who receives it, and who pays for it.
Bioinformatics, that is the interdisciplinary field that blends computer science and biostatistics with biological and biomedical sciences, is expected to gain a central role in next feature. Indeed, it has now affected several fields of biology, providing crucial hints for the understanding of biological systems and also allowing a more accurate design of wet lab experiments. In this work, the analysis of sequence data has be used in different fields, such as evolution (e.g. the assembly and evolution of metabolism), infections control (e.g. the horizontal flow of antibiotic resistance), ecology (bacterial bioremediation).