Author: Venki Ramakrishnan
Publisher: Basic Books
ISBN: 046509337X
Category : Biography & Autobiography
Languages : en
Pages : 290
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.
The Gene Machine
Author: Bonnie Rochman
Publisher: Scientific American / Farrar, Straus and Giroux
ISBN: 0374713960
Category : Family & Relationships
Languages : en
Pages : 289
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.
Publisher: Scientific American / Farrar, Straus and Giroux
ISBN: 0374713960
Category : Family & Relationships
Languages : en
Pages : 289
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.
Murder Machine
Author: Gene Mustain
Publisher: Penguin
ISBN: 1101665882
Category : True Crime
Languages : en
Pages : 496
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
Publisher: Penguin
ISBN: 1101665882
Category : True Crime
Languages : en
Pages : 496
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
The Selfish Gene
Author: Richard Dawkins
Publisher: Oxford University Press, USA
ISBN: 9780192860927
Category : Medical
Languages : en
Pages : 372
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
Publisher: Oxford University Press, USA
ISBN: 9780192860927
Category : Medical
Languages : en
Pages : 372
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
The Meme Machine
Author: Susan Blackmore
Publisher: OUP Oxford
ISBN: 0191574619
Category : Science
Languages : en
Pages : 288
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.
Publisher: OUP Oxford
ISBN: 0191574619
Category : Science
Languages : en
Pages : 288
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.
The Gene Machine
Author: Bonnie Rochman
Publisher: Scientific American / Farrar, Straus and Giroux
ISBN: 0374160783
Category : Family & Relationships
Languages : en
Pages : 289
Book Description
Is DNA testing a triumph of modern medicine or a Pandora's box of possibilities? Is screening for disease in an embryo a humane form of family planning or a slippery slope toward eugenics? And, more practically, how do we navigate the dizzying and expanding array of tests available, with more appearing every day?In The Gene Machine, the award-winning journalist Bonnie Rochman addresses these questions and more, guiding us through the new frontiers of gene technology and how it has forever changed medicine, bioethics, and the factors that shape a family. Rochman takes an authoritative look at the latest hot-button issues in the world of pre- and postnatal testing and tells the stories of women and men struggling to understand the variety of tests and grappling with their results-revelations that are sometimes joyous, sometimes heartbreaking, and often profound. Propelled by human narratives and meticulously reported, The Gene Machine introduces us to scientists working to unlock the secrets of the human genome; gene counselors and spiritual advisers helping parents manage this complex new reality; and, of course, parents themselves, including the author, who glimpse the genetic futures of their children. The Gene Machine is both a scientific road map and a meditation on our power to shape the future, one that gets to the very core of what it means to be human.
Publisher: Scientific American / Farrar, Straus and Giroux
ISBN: 0374160783
Category : Family & Relationships
Languages : en
Pages : 289
Book Description
Is DNA testing a triumph of modern medicine or a Pandora's box of possibilities? Is screening for disease in an embryo a humane form of family planning or a slippery slope toward eugenics? And, more practically, how do we navigate the dizzying and expanding array of tests available, with more appearing every day?In The Gene Machine, the award-winning journalist Bonnie Rochman addresses these questions and more, guiding us through the new frontiers of gene technology and how it has forever changed medicine, bioethics, and the factors that shape a family. Rochman takes an authoritative look at the latest hot-button issues in the world of pre- and postnatal testing and tells the stories of women and men struggling to understand the variety of tests and grappling with their results-revelations that are sometimes joyous, sometimes heartbreaking, and often profound. Propelled by human narratives and meticulously reported, The Gene Machine introduces us to scientists working to unlock the secrets of the human genome; gene counselors and spiritual advisers helping parents manage this complex new reality; and, of course, parents themselves, including the author, who glimpse the genetic futures of their children. The Gene Machine is both a scientific road map and a meditation on our power to shape the future, one that gets to the very core of what it means to be human.
Gene Expression Data Analysis
Author: Pankaj Barah
Publisher: CRC Press
ISBN: 1000425754
Category : Computers
Languages : en
Pages : 276
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
Publisher: CRC Press
ISBN: 1000425754
Category : Computers
Languages : en
Pages : 276
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
Wilma Jean the Worry Machine
Author: Julia Cook
Publisher: National Center for Youth Issues
ISBN: 1937870898
Category : Juvenile Fiction
Languages : en
Pages : 33
Book Description
"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.
Publisher: National Center for Youth Issues
ISBN: 1937870898
Category : Juvenile Fiction
Languages : en
Pages : 33
Book Description
"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.
Computational Genomics with R
Author: Altuna Akalin
Publisher: CRC Press
ISBN: 1498781861
Category : Mathematics
Languages : en
Pages : 463
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.
Publisher: CRC Press
ISBN: 1498781861
Category : Mathematics
Languages : en
Pages : 463
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.