Microarrays For An Integrative Genomics
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Microarrays For An Integrative Genomics
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Author : Isaac S. Kohane
language : en
Publisher:
Release Date : 2001
Microarrays For An Integrative Genomics written by Isaac S. Kohane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
Microarrays For An Integrative Genomics
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Author : Isaac S. Kohane
language : en
Publisher:
Release Date : 2004
Microarrays For An Integrative Genomics written by Isaac S. Kohane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Bioinformatics categories.
Microarrays For An Integrative Genomics
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Author : Isaac S. Kohane
language : en
Publisher: Computational Molecular Biolog
Release Date : 2005
Microarrays For An Integrative Genomics written by Isaac S. Kohane and has been published by Computational Molecular Biolog this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Science categories.
An introduction to the use of DNA microarrays in functional genomics.
Dna Microarrays And Related Genomics Techniques
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Author : David B. Allison
language : en
Publisher: CRC Press
Release Date : 2005-11-14
Dna Microarrays And Related Genomics Techniques written by David B. Allison and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-14 with Mathematics categories.
Considered highly exotic tools as recently as the late 1990s, microarrays are now ubiquitous in biological research. Traditional statistical approaches to design and analysis were not developed to handle the high-dimensional, small sample problems posed by microarrays. In just a few short years the number of statistical papers providing approaches
Microarrays For The Neurosciences
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Author : Daniel H. Geschwind
language : en
Publisher: MIT Press
Release Date : 2002
Microarrays For The Neurosciences written by Daniel H. Geschwind and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Medical categories.
The effort to sequence the human genome has generated a new discipline, functional genomics, or the study of the relationship between the genetic code and its biologic potential. Gene expression studies are made possible not only by the decoding of the human genome, but by the development of new technologies. The preeminent technology in this area, DNA microarrays, is helping to revolutionize the field of neuroscience.
Microarrays And Transcription Networks
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Author : M. Francis Shannon
language : en
Publisher: CRC Press
Release Date : 2006-09-01
Microarrays And Transcription Networks written by M. Francis Shannon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-01 with Science categories.
While every cell of an organism has an identical genomic content, extremely complex networks exist to tailor the genomic output to the needs of that cell. This program of gene expression is different for every cell type and stage of development. In addition, the cell can respond to its environment by modulating its gene expression program in a fairly dramatic manner. For many decades gene transcription has been investigated in systems from bacteria to mammalian cells and along the way many landmark findings have set new paradigms that often apply across wide evolutionary distances. Studying individual genes, however, especially in mammalian systems has been a painstaking business and although we know the transcription activators and other complexes that control specific genes in minute detail, generalizing these findings has often proven to be difficult. It has become clear that transcription factors do not operate alone but form complex networks in the cell. If one component of this complexity is disturbed then there are repercussions across the entire network, but it has been impossible to study these networks until very recently. The advent of microarray technology within the last decade has revolutionized how we study gene transcription. There are several types of array technology that essentially screen for relative mRNA levels for many thousands of genes at once. We do not focus here on the technology as this has become routine and is available to many researchers. Microarray technology has given us the ability to measure the entire gene expression program of a cell in a single experiment and compare it to other cells thus allowing a global view of cell behaviour at the level of gene transcription. Expression profiling, as this endeavour has become known, is now a relatively simple undertaking and hundreds, probably thousands of papers have been published demonstrating the power of this technology. Expression profiling has been applied to many diverse biological problems and is also being developed as a method for disease diagnosis especially in the cancer classification field. There are constant improvements or modified uses of the technology that are allowing more and more high throughput experiments to be carried out.
Genomic Signal Processing
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Author : Ilya Shmulevich
language : en
Publisher: Princeton University Press
Release Date : 2014-09-08
Genomic Signal Processing written by Ilya Shmulevich and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-08 with Science categories.
Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine. Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention.
Genomic And Personalized Medicine
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Author : Geoffrey S. Ginsburg
language : en
Publisher: Academic Press
Release Date : 2012-11-29
Genomic And Personalized Medicine written by Geoffrey S. Ginsburg and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-29 with Science categories.
Genomic and Personalized Medicine, Second Edition - winner of a 2013 Highly Commended BMA Medical Book Award for Medicine - is a major discussion of the structure, history, and applications of the field, as it emerges from the campus and lab into clinical action. As with the first edition, leading experts review the development of the new science, the current opportunities for genome-based analysis in healthcare, and the potential of genomic medicine in future healthcare. The inclusion of the latest information on diagnostic testing, population screening, disease susceptability, and pharmacogenomics makes this work an ideal companion for the many stakeholders of genomic and personalized medicine. With advancing knowledge of the genome across and outside protein-coding regions of DNA, new comprehension of genomic variation and frequencies across populations, the elucidation of advanced strategic approaches to genomic study, and above all in the elaboration of next-generation sequencing, genomic medicine has begun to achieve the much-vaunted transformative health outcomes of the Human Genome Project, almost a decade after its official completion in April 2003. Highly Commended 2013 BMA Medical Book Award for Medicine More than 100 chapters, from leading researchers, review the many impacts of genomic discoveries in clinical action, including 63 chapters new to this edition Discusses state-of-the-art genome technologies, including population screening, novel diagnostics, and gene-based therapeutics Wide and inclusive discussion encompasses the formidable ethical, legal, regulatory and social challenges related to the evolving practice of genomic medicine Clearly and beautifully illustrated with 280 color figures, and many thousands of references for further reading and deeper analysis
Applying Genomic And Proteomic Microarray Technology In Drug Discovery Second Edition
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Author : Robert S. Matson
language : en
Publisher: CRC Press
Release Date : 2013-03-13
Applying Genomic And Proteomic Microarray Technology In Drug Discovery Second Edition written by Robert S. Matson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-13 with Medical categories.
Microarrays play an increasingly significant role in drug discovery. The commercial landscape has changed dramatically over the past few years and researchers have made great advancements with regard to construction and use. Now in its second edition, Applying Genomic and Proteomic Microarray Technology in Drug Discovery highlights, describes, and evaluates current scientific research using microarray technology in genomic and proteomic applications. Updated and revised to reflect recent progress in the field, the second edition discusses: Expanded omics-driven applications, including the areas of metabolomics and chemical biology The commercialization of the microarray platform, with a historical perspective aimed at recognizing key technological developments Solid-supports (substrates) and surface chemistries currently used in the creation of nucleic acid and protein microarrays Different approaches to producing microarrays that achieve spot equality with the same number of molecules properly oriented The development of the gene expression microarray and representative applications The development of protein microarray technology, including its history and key applications Unique to this edition is a new chapter on multiplex assays that examines the development and applications of arrays across diverse platforms. It discusses applications for qPCR, multiplex lateral flow, and multiplex bead assays. It also presents platform-to-platform comparisons. Microarrays remain an invaluable tool for omics-based research not only in drug discovery, but in the life sciences, in clinical research, and for diagnostic applications worldwide. This volume presents the current state of the art on the utility of this technology to solve a host of important biological problems.
Genomic Signal Processing And Statistics
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Author : Edward R. Dougherty
language : en
Publisher: Hindawi Publishing Corporation
Release Date : 2005
Genomic Signal Processing And Statistics written by Edward R. Dougherty and has been published by Hindawi Publishing Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Technology & Engineering categories.
Recent advances in genomic studies have stimulated synergetic research and development in many cross-disciplinary areas. Processing the vast genomic data, especially the recent large-scale microarray gene expression data, to reveal the complex biological functionality, represents enormous challenges to signal processing and statistics. This perspective naturally leads to a new field, genomic signal processing (GSP), which studies the processing of genomic signals by integrating the theory of signal processing and statistics. Written by an international, interdisciplinary team of authors, this invaluable edited volume is accessible to students just entering this emergent field, and to researchers, both in academia and in industry, in the fields of molecular biology, engineering, statistics, and signal processing. The book provides tutorial-level overviews and addresses the specific needs of genomic signal processing students and researchers as a reference book. The book aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data. The first part of this book provides a brief history of genomic research and a background introduction from both biological and signal-processing/statistical perspectives, so that readers can easily follow the material presented in the rest of the book. In what follows, overviews of state-of-the-art techniques are provided. We start with a chapter on sequence analysis, and follow with chapters on feature selection, classification, and clustering of microarray data. We then discuss the modeling, analysis, and simulation of biological regulatory networks, especially gene regulatory networks based on Boolean and Bayesian approaches. Visualization and compression of gene data, and supercomputer implementation of genomic signal processing systems are also treated. Finally, we discuss systems biology and medical applications of genomic research as well as the future trends in genomic signal processing and statistics research.