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Author: Venki Ramakrishnan
Publisher: Basic Books
ISBN: 046509337X
Category : Biography & Autobiography
Languages : en
Pages : 290
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Book Description
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.
Author: Venki Ramakrishnan
Publisher: Basic Books
ISBN: 046509337X
Category : Biography & Autobiography
Languages : en
Pages : 290
Get Book Here
Book Description
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.
Author: Bonnie Rochman
Publisher: Scientific American / Farrar, Straus and Giroux
ISBN: 0374713960
Category : Family & Relationships
Languages : en
Pages : 289
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Book Description
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.
Author: Richard Dawkins
Publisher: Oxford University Press, USA
ISBN: 9780192860927
Category : Medical
Languages : en
Pages : 372
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Book Description
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
Author: Gene Mustain
Publisher: Penguin
ISBN: 1101665882
Category : True Crime
Languages : en
Pages : 496
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Book Description
"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
Author: Susan Blackmore
Publisher: OUP Oxford
ISBN: 0191574619
Category : Science
Languages : en
Pages : 288
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Book Description
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.
Author: Siddhartha Mukherjee
Publisher: Simon and Schuster
ISBN: 1476733538
Category : Medical
Languages : en
Pages : 624
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Book Description
The #1 NEW YORK TIMES Bestseller The basis for the PBS Ken Burns Documentary The Gene: An Intimate History Now includes an excerpt from Siddhartha Mukherjee’s new book Song of the Cell! From the Pulitzer Prize–winning author of The Emperor of All Maladies—a fascinating history of the gene and “a magisterial account of how human minds have laboriously, ingeniously picked apart what makes us tick” (Elle). “Sid Mukherjee has the uncanny ability to bring together science, history, and the future in a way that is understandable and riveting, guiding us through both time and the mystery of life itself.” —Ken Burns “Dr. Siddhartha Mukherjee dazzled readers with his Pulitzer Prize-winning The Emperor of All Maladies in 2010. That achievement was evidently just a warm-up for his virtuoso performance in The Gene: An Intimate History, in which he braids science, history, and memoir into an epic with all the range and biblical thunder of Paradise Lost” (The New York Times). In this biography Mukherjee brings to life the quest to understand human heredity and its surprising influence on our lives, personalities, identities, fates, and choices. “Mukherjee expresses abstract intellectual ideas through emotional stories…[and] swaddles his medical rigor with rhapsodic tenderness, surprising vulnerability, and occasional flashes of pure poetry” (The Washington Post). Throughout, the story of Mukherjee’s own family—with its tragic and bewildering history of mental illness—reminds us of the questions that hang over our ability to translate the science of genetics from the laboratory to the real world. In riveting and dramatic prose, he describes the centuries of research and experimentation—from Aristotle and Pythagoras to Mendel and Darwin, from Boveri and Morgan to Crick, Watson and Franklin, all the way through the revolutionary twenty-first century innovators who mapped the human genome. “A fascinating and often sobering history of how humans came to understand the roles of genes in making us who we are—and what our manipulation of those genes might mean for our future” (Milwaukee Journal-Sentinel), The Gene is the revelatory and magisterial history of a scientific idea coming to life, the most crucial science of our time, intimately explained by a master. “The Gene is a book we all should read” (USA TODAY).
Author: Jessica Wapner
Publisher: The Experiment, LLC
ISBN: 1615191658
Category : Health & Fitness
Languages : en
Pages : 345
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Book Description
One of The Wall Street Journal’s 10 Best Nonfiction Books of the Year Philadelphia, 1959: A scientist scrutinizing a single human cell under a microscope detects a missing piece of DNA. That scientist, David Hungerford, had no way of knowing that he had stumbled upon the starting point of modern cancer research— the Philadelphia chromosome. It would take doctors and researchers around the world more than three decades to unravel the implications of this landmark discovery. In 1990, the Philadelphia chromosome was recognized as the sole cause of a deadly blood cancer, chronic myeloid leukemia, or CML. Cancer research would never be the same. Science journalist Jessica Wapner reconstructs more than forty years of crucial breakthroughs, clearly explains the science behind them, and pays tribute—with extensive original reporting, including more than thirty-five interviews—to the dozens of researchers, doctors, and patients with a direct role in this inspirational story. Their curiosity and determination would ultimately lead to a lifesaving treatment unlike anything before it. The Philadelphia Chromosome chronicles the remarkable change of fortune for the more than 70,000 people worldwide who are diagnosed with CML each year. It is a celebration of a rare triumph in the battle against cancer and a blueprint for future research, as doctors and scientists race to uncover and treat the genetic roots of a wide range of cancers.
Author: Altuna Akalin
Publisher: CRC Press
ISBN: 1498781861
Category : Mathematics
Languages : en
Pages : 463
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Book Description
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
Author: Pankaj Barah
Publisher: CRC Press
ISBN: 1000425754
Category : Computers
Languages : en
Pages : 276
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Book Description
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
Author: Richard Dawkins
Publisher: Oxford University Press
ISBN: 0191093068
Category : Science
Languages : en
Pages : 497
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Book Description
The million copy international bestseller, critically acclaimed and translated into over 25 languages. As influential today as when it was first published, The Selfish Gene has become a classic exposition of evolutionary thought. Professor Dawkins articulates a gene's eye view of evolution - a view giving centre stage to these persistent units of information, and in which organisms can be seen as vehicles for their replication. This imaginative, powerful, and stylistically brilliant work not only brought the insights of Neo-Darwinism to a wide audience, but galvanized the biology community, generating much debate and stimulating whole new areas of research. Forty years later, its insights remain as relevant today as on the day it was published. This 40th anniversary edition includes a new epilogue from the author discussing the continuing relevance of these ideas in evolutionary biology today, as well as the original prefaces and foreword, and extracts from early reviews. Oxford Landmark Science books are 'must-read' classics of modern science writing which have crystallized big ideas, and shaped the way we think.
