Automation: Genomic and Functional Analyses PDF Download

Author: Alister G. Craig
Publisher: Elsevier
ISBN: 9780121948603
Category : Science
Languages : en
Pages : 296

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Book Description
Evaluation and functional analysis, to provide insight into this "new age" of research based on genomic and chemical screening. Key Features * Describes automated procedures used in microbiology and molecular biology * Includes developments in robotics and vision systems * Features automation in library picking, presentation and analysis * Discusses paralogous duplications in microbial genomes * Covers deciphering genomes through automated large-scale sequencing * Describes and stresses the need for functional analyses * Internationally acclaimed contributors, including Professor Leroy Hood.

Author: Mark D. Adams
Publisher: Elsevier
ISBN: 0080926398
Category : Science
Languages : en
Pages : 368

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Book Description
A timely book for DNA researchers, Automated DNA Sequencing and Analysis reviews and assesses the state of the art of automated DNA sequence analysis-from the construction of clone libraries to the developmentof laboratory and community databases. It presents the methodologies and strategies of automated DNA sequence analysis in a way that allows them to be compared and contrasted. By taking a broad view of the process of automated sequence analysis, the present volume bridges the gap between the protocols supplied with instrument and reaction kits and the finalized data presented in the research literature. It will be an invaluable aid to both small laboratories that are interested in taking maximum advantageof automated sequence resources and to groups pursuing large-scale cDNA and genomic sequencing projects. * The field of automation in DAN sequencing and analysis is rapidly moving. Hovever, as the technology becomes commonplace, those applying the techniques involved to their research fields need a text which both expands on the protocols supplied by manufacturers with their instruments and explains how to utilise the data produced. This book fulfils those needs, reviews the history of the art and provides pointers to future development.

Author: Cedric Gondro
Publisher: Springer
ISBN: 3319144758
Category : Medical
Languages : en
Pages : 270

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Book Description
Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate courses in bioinformatics and genomic analysis or for use in lab sessions. How to handle and manage high-throughput genomic data, create automated workflows and speed up analyses in R is also taught. A wide range of R packages useful for working with genomic data are illustrated with practical examples. The key topics covered are association studies, genomic prediction, estimation of population genetic parameters and diversity, gene expression analysis, functional annotation of results using publically available databases and how to work efficiently in R with large genomic datasets. Important principles are demonstrated and illustrated through engaging examples which invite the reader to work with the provided datasets. Some methods that are discussed in this volume include: signatures of selection, population parameters (LD, FST, FIS, etc); use of a genomic relationship matrix for population diversity studies; use of SNP data for parentage testing; snpBLUP and gBLUP for genomic prediction. Step-by-step, all the R code required for a genome-wide association study is shown: starting from raw SNP data, how to build databases to handle and manage the data, quality control and filtering measures, association testing and evaluation of results, through to identification and functional annotation of candidate genes. Similarly, gene expression analyses are shown using microarray and RNAseq data. At a time when genomic data is decidedly big, the skills from this book are critical. In recent years R has become the de facto tool for analysis of gene expression data, in addition to its prominent role in analysis of genomic data. Benefits to using R include the integrated development environment for analysis, flexibility and control of the analytic workflow. Included topics are core components of advanced undergraduate and graduate classes in bioinformatics, genomics and statistical genetics. This book is also designed to be used by students in computer science and statistics who want to learn the practical aspects of genomic analysis without delving into algorithmic details. The datasets used throughout the book may be downloaded from the publisher’s website.

Author: Mark D. Adams
Publisher: Elsevier
ISBN: 9780127170107
Category : Science
Languages : en
Pages : 400

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Book Description
A timely book for DNA researchers, Automated DNA Sequencing and Analysis reviews and assesses the state of the art of automated DNA sequence analysis-from the construction of clone libraries to the developmentof laboratory and community databases. It presents the methodologies and strategies of automated DNA sequence analysis in a way that allows them to be compared and contrasted. By taking a broad view of the process of automated sequence analysis, the present volume bridges the gap between the protocols supplied with instrument and reaction kits and the finalized data presented in the research literature. It will be an invaluable aid to both small laboratories that are interested in taking maximum advantageof automated sequence resources and to groups pursuing large-scale cDNA and genomic sequencing projects. The field of automation in DAN sequencing and analysis is rapidly moving, this book fulfils those needs, reviews the history of the art and provides pointers to future development.

Author: Gil Alterovitz
Publisher: John Wiley & Sons
ISBN: 9780470741177
Category : Science
Languages : en
Pages : 340

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Book Description
In the last decade DNA sequencing costs have decreased over a magnitude, largely because of increasing throughput by incremental advances in tools, technologies and process improvements. Further cost reductions in this and in related proteomics technologies are expected as a result of the development of new high-throughput techniques and the computational machinery needed to analyze data generated. Automation in Proteomics & Genomics: An Engineering Case-Based Approach describes the automation technology currently in the areas of analysis, design, and integration, as well as providing basic biology concepts behind proteomics and genomics. The book also discusses the current technological limitations that can be viewed as an emerging market rather than a research bottleneck. Topics covered include: molecular biology fundamentals: from ‘blueprint’ (DNA) to ‘task list’ (RNA) to ‘molecular machine’ (protein); proteomics methods and technologies; modelling protein networks and interactions analysis via automation: DNA sequencing; microarrays and other parallelization technologies; protein characterization and identification; protein interaction and gene regulatory networks design via automation: DNA synthesis; RNA by design; building protein libraries; synthetic networks integration: multiple modalities; computational and experimental methods; trends in automation for genomics and proteomics new enabling technologies and future applications Automation in Proteomics & Genomics: An Engineering Case-Based Approach is an essential guide to the current capabilities and challenges of high-throughput analysis of genes and proteins for bioinformaticians, engineers, chemists, and biologists interested in developing a cross-discipline problem-solving based approach to systems biology.

Author:
Publisher: Elsevier
ISBN: 0080521789
Category : Science
Languages : en
Pages : 730

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Book Description
Focusing on Saccharomyces cerevisiae, the second edition of Yeast Gene Analysis represents a major reworking of the original edition, with many completely new chapters and major revisions to all previous chapters. Originally published shortly after completion of the yeast genome sequence, the new edition covers many of the major genome-wide strategies that have been developed since then such as microarray analysis of transcription, synthetic gene array studies, protein microarrays and chemical genetic approaches. It represents a valuable resource for any research laboratory using budding yeast as their experimental system in which to identify new yeast gene functions. The chapters are written in a readable style with useful background information, technical tips and specific experimental protocols included as appropriate, enabling both the novice and the experienced yeast researcher to adopt new procedures with confidence. New chapters on: Strain construction; genome-wide two-hybrid approaches; use of microarrays for transcript analysis; real-time analysis of chromosome behaviour and FRET; synthetic gene array technology and protein arrays; chemical genomics and yeast prions; RNA gene analysis and mitochondrial gene function analysis; phylogenetic footprinting; discovering human gene function and predicting yeast gene function

Author: F. Farzaneh
Publisher: Garland Science
ISBN: 1000140962
Category : Science
Languages : en
Pages : 314

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Book Description
An excellent review of the relationship between structure and function in the human genome, and a detailed description of some of the important methodologies for unravelling the function of genes and genomic structures.

Author:
Publisher: Elsevier
ISBN: 0080468985
Category : Science
Languages : en
Pages : 736

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Book Description
The critically acclaimed laboratory standard for more than forty years, Methods in Enzymology is one of the most highly respected publications in the field of biochemistry. Since 1955, each volume has been eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with more than 300 volumes (all of them still in print), the series contains much material still relevant today-truly an essential publication for researchers in all fields of life sciences.

Author: John M. Butler
Publisher: Elsevier
ISBN: 9780080470610
Category : Law
Languages : en
Pages : 688

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Book Description
Forensic DNA Typing, Second Edition, is the only book available that specifically covers detailed information on mitochondrial DNA and the Y chromosome. It examines the science of current forensic DNA typing methods by focusing on the biology, technology, and genetic interpretation of short tandem repeat (STR) markers, which encompass the most common forensic DNA analysis methods used today. The book covers topics from introductory level right up to cutting edge research. High-profile cases are addressed throughout the text, near the sections dealing with the science or issues behind these cases. Ten new chapters have been added to accommodate the explosion of new information since the turn of the century. These additional chapters cover statistical genetic analysis of DNA data, an emerging field of interest to DNA research. Several chapters on statistical analysis of short tandem repeat (STR) typing data have been contributed by Dr. George Carmody, a well-respected professor in forensic genetics. Specific examples make the concepts of population genetics more understandable. This book will be of interest to researchers and practitioners in forensic DNA analysis, forensic scientists, population geneticists, military and private and public forensic laboratories (for identifying individuals through remains), and students of forensic science. *The only book available that specifically covers detailed information on mitochondrial DNA and the Y chromosome *Chapters cover the topic from introductory level right up to "cutting edge" research *High-profile cases are addressed throughout the book, near the sections dealing with the science or issues behind these cases *NEW TO THIS EDITION: D.N.A. Boxes--boxed "Data, Notes & Applications" sections throughout the book offer higher levels of detail on specific questions

Author: George P. Rédei
Publisher: Springer Science & Business Media
ISBN: 1402067534
Category : Medical
Languages : en
Pages : 2139

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Book Description
This new third edition updates a best-selling encyclopedia. It includes about 56% more words than the 1,392-page second edition of 2003. The number of illustrations increased to almost 2,000 and their quality has improved by design and four colors. It includes approximately 1,800 current databases and web servers. This encyclopedia covers the basics and the latest in genomics, proteomics, genetic engineering, small RNAs, transcription factories, chromosome territories, stem cells, genetic networks, epigenetics, prions, hereditary diseases, and patents. Similar integrated information is not available in textbooks or on the Internet.