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Gene Machine

Author: Venki Ramakrishnan

Publisher: Basic Books

Published: 2018-11-06

Total Pages: 290

ISBN-13: 046509337X

A Nobel Prize-winning biologist tells the riveting story of his race to discover the inner workings of biology's most important molecule "Ramakrishnan's writing is so honest, lucid and engaging that I could not put this book down until I had read to the very end." -- Siddhartha Mukherjee, author of The Emperor of All Maladies and The Gene Everyone has heard of DNA. But by itself, DNA is just an inert blueprint for life. It is the ribosome -- an enormous molecular machine made up of a million atoms -- that makes DNA come to life, turning our genetic code into proteins and therefore into us. Gene Machine is an insider account of the race for the structure of the ribosome, a fundamental discovery that both advances our knowledge of all life and could lead to the development of better antibiotics against life-threatening diseases. But this is also a human story of Ramakrishnan's unlikely journey, from his first fumbling experiments in a biology lab to being the dark horse in a fierce competition with some of the world's best scientists. In the end, Gene Machine is a frank insider's account of the pursuit of high-stakes science.

The Gene Machine

Author: Bonnie Rochman

Publisher: Scientific American / Farrar, Straus and Giroux

Published: 2017-02-28

Total Pages: 288

ISBN-13: 0374713960

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A sharp-eyed exploration of the promise and peril of having children in an age of genetic tests and interventions Is screening for disease in an embryo a humane form of family planning or a slippery slope toward eugenics? Should doctors tell you that your infant daughter is genetically predisposed to breast cancer? If tests revealed that your toddler has a genetic mutation whose significance isn’t clear, would you want to know? In The Gene Machine, the award-winning journalist Bonnie Rochman deftly explores these hot-button questions, guiding us through the new frontier of gene technology and how it is transforming medicine, bioethics, health care, and the factors that shape a family. Rochman tells the stories of scientists working to unlock the secrets of the human genome; genetic counselors and spiritual advisers guiding mothers and fathers through life-changing choices; and, of course, parents (including Rochman herself) grappling with revelations that are sometimes joyous, sometimes heartbreaking, but always profound. She navigates the dizzying and constantly expanding array of prenatal and postnatal tests, from carrier screening to genome sequencing, while considering how access to more tests is altering perceptions of disability and changing the conversation about what sort of life is worth living and who draws the line. Along the way, she highlights the most urgent ethical quandary: Is this technology a triumph of modern medicine or a Pandora’s box of possibilities? Propelled by human narratives and meticulously reported, The Gene Machine is both a scientific road map and a meditation on our power to shape the future. It is a book that gets to the very core of what it means to be human.

Murder Machine

Author: Gene Mustain

Publisher: Penguin

Published: 1993-07-01

Total Pages: 496

ISBN-13: 1101665882

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"The inside story of a single Brooklyn gang that killed more Americans than the Iraqi army."—Mike McAlary, columnist, New York Post They were the DeMeo gang—the most deadly hit men in organized crime. Their Mafia higher-ups came to know, use, and ultimately fear them as the Murder Machine. They killed for profit and for pleasure, following cold-blooded plans and wild whims, from the mean streets of New York to the Florida Gold Coast, and from coast to coast. Now complete with personal revelations of one of the key players, this is the savage story that leaves no corpse unturned in its terrifying telling. INCLUDES PHOTOGRAPHS

Gene Machines

Author: Fran Balkwill

Publisher: CSHL Press

Published: 2002

Total Pages: 36

ISBN-13: 9780879696115

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Summary: An introduction to how genes work, including basic information about cloning and gene therapy.

The Selfish Gene

Author: Richard Dawkins

Publisher: Oxford University Press, USA

Published: 1989

Total Pages: 372

ISBN-13: 9780192860927

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Science need not be dull and bogged down by jargon, as Richard Dawkins proves in this entertaining look at evolution. The themes he takes up are the concepts of altruistic and selfish behaviour; the genetical definition of selfish interest; the evolution of aggressive behaviour; kinshiptheory; sex ratio theory; reciprocal altruism; deceit; and the natural selection of sex differences. 'Should be read, can be read by almost anyone. It describes with great skill a new face of the theory of evolution.' W.D. Hamilton, Science

Wilma Jean the Worry Machine

Author: Julia Cook

Publisher: National Center for Youth Issues

Published: 2012-01-15

Total Pages: 33

ISBN-13: 1937870898

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"My stomach feels like it's tied up in a knot. My knees lock up, and my face feels hot. You know what I mean? I'm Wilma Jean, The Worry Machine." Anxiety is a subjective sense of worry, apprehension, and/or fear. It is considered to be the number one health problem in America. Although quite common, anxiety disorders in children are often misdiagnosed and overlooked. Everyone feels fear, worry and apprehension from time to time, but when these feelings prevent a person from doing what he/she wants and/or needs to do, anxiety becomes a disability. This fun and humorous book addresses the problem of anxiety in a way that relates to children of all ages. It offers creative strategies for parents and teachers to use that can lessen the severity of anxiety. The goal of the book is to give children the tools needed to feel more in control of their anxiety. For those worries that are not in anyone's control (i.e. the weather) a worry hat is introduced. A fun read for Wilmas of all ages! Includes a note to parents and educators with tips on dealing with an anxious child.

The Meme Machine

Author: Susan Blackmore

Publisher: OUP Oxford

Published: 2000-03-16

Total Pages: 288

ISBN-13: 0191574619

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Humans are extraordinary creatures, with the unique ability among animals to imitate and so copy from one another ideas, habits, skills, behaviours, inventions, songs, and stories. These are all memes, a term first coined by Richard Dawkins in 1976 in his book The Selfish Gene. Memes, like genes, are replicators, and this enthralling book is an investigation of whether this link between genes and memes can lead to important discoveries about the nature of the inner self. Confronting the deepest questions about our inner selves, with all our emotions, memories, beliefs, and decisions, Susan Blackmore makes a compelling case for the theory that the inner self is merely an illusion created by the memes for the sake of replication.

Gene Expression Programming

Author: Candida Ferreira

Publisher: Springer

Published: 2006-08-29

Total Pages: 493

ISBN-13: 3540328491

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This book describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. It provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book includes a self-contained introduction to this new exciting field of computational intelligence. This second edition has been revised and extended with five new chapters.

Evolutionary Approach to Machine Learning and Deep Neural Networks

Author: Hitoshi Iba

Publisher: Springer

Published: 2018-06-15

Total Pages: 245

ISBN-13: 9811302006

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This book provides theoretical and practical knowledge about a methodology for evolutionary algorithm-based search strategy with the integration of several machine learning and deep learning techniques. These include convolutional neural networks, Gröbner bases, relevance vector machines, transfer learning, bagging and boosting methods, clustering techniques (affinity propagation), and belief networks, among others. The development of such tools contributes to better optimizing methodologies. Beginning with the essentials of evolutionary algorithms and covering interdisciplinary research topics, the contents of this book are valuable for different classes of readers: novice, intermediate, and also expert readers from related fields. Following the chapters on introduction and basic methods, Chapter 3 details a new research direction, i.e., neuro-evolution, an evolutionary method for the generation of deep neural networks, and also describes how evolutionary methods are extended in combination with machine learning techniques. Chapter 4 includes novel methods such as particle swarm optimization based on affinity propagation (PSOAP), and transfer learning for differential evolution (TRADE), another machine learning approach for extending differential evolution. The last chapter is dedicated to the state of the art in gene regulatory network (GRN) research as one of the most interesting and active research fields. The author describes an evolving reaction network, which expands the neuro-evolution methodology to produce a type of genetic network suitable for biochemical systems and has succeeded in designing genetic circuits in synthetic biology. The author also presents real-world GRN application to several artificial intelligent tasks, proposing a framework of motion generation by GRNs (MONGERN), which evolves GRNs to operate a real humanoid robot.

Gene Expression Data Analysis

Author: Pankaj Barah

Publisher: CRC Press

Published: 2021-11-08

Total Pages: 276

ISBN-13: 1000425754

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Development of high-throughput technologies in molecular biology during the last two decades has contributed to the production of tremendous amounts of data. Microarray and RNA sequencing are two such widely used high-throughput technologies for simultaneously monitoring the expression patterns of thousands of genes. Data produced from such experiments are voluminous (both in dimensionality and numbers of instances) and evolving in nature. Analysis of huge amounts of data toward the identification of interesting patterns that are relevant for a given biological question requires high-performance computational infrastructure as well as efficient machine learning algorithms. Cross-communication of ideas between biologists and computer scientists remains a big challenge. Gene Expression Data Analysis: A Statistical and Machine Learning Perspective has been written with a multidisciplinary audience in mind. The book discusses gene expression data analysis from molecular biology, machine learning, and statistical perspectives. Readers will be able to acquire both theoretical and practical knowledge of methods for identifying novel patterns of high biological significance. To measure the effectiveness of such algorithms, we discuss statistical and biological performance metrics that can be used in real life or in a simulated environment. This book discusses a large number of benchmark algorithms, tools, systems, and repositories that are commonly used in analyzing gene expression data and validating results. This book will benefit students, researchers, and practitioners in biology, medicine, and computer science by enabling them to acquire in-depth knowledge in statistical and machine-learning-based methods for analyzing gene expression data. Key Features: An introduction to the Central Dogma of molecular biology and information flow in biological systems A systematic overview of the methods for generating gene expression data Background knowledge on statistical modeling and machine learning techniques Detailed methodology of analyzing gene expression data with an example case study Clustering methods for finding co-expression patterns from microarray, bulkRNA, and scRNA data A large number of practical tools, systems, and repositories that are useful for computational biologists to create, analyze, and validate biologically relevant gene expression patterns Suitable for multidisciplinary researchers and practitioners in computer science and the biological sciences