Sequence Analysis Primer
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Sequence Analysis Primer
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Author : Michael Ray Gribskov
language : en
Publisher: Oxford University Press, USA
Release Date : 1994
Sequence Analysis Primer written by Michael Ray Gribskov and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Amino acid sequence categories.
Computerized sequence analysis is an integral part of biotechnological research, yet many biologists have received no formal training in this important technology. Sequence Analysis Primer offers the beginner the necessary background to enter this vital field and helps more seasoned researchers to fine-tune their approach. It covers basic data manipulation such as homology searches, stem-loop identification, and protein secondary structure prediction, and is compatible with most sequence analysis programs. A detailed example giving steps for characterizing a new gene sequence provides users with hands-on experience when combined with their current software. The book will be invaluable to researchers and students in molecular biology, genetics, biochemistry, microbiology, and biotechnology.
Sequence Analysis Of Dna By Template Directed Extension Of Pyrimidine Oligodeoxynucleotide Primers
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Author : John S. Kaptein
language : en
Publisher:
Release Date : 1977
Sequence Analysis Of Dna By Template Directed Extension Of Pyrimidine Oligodeoxynucleotide Primers written by John S. Kaptein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with categories.
Of Urfs And Orfs
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Author : Russell F. Doolittle
language : en
Publisher: University Science Books
Release Date : 1986
Of Urfs And Orfs written by Russell F. Doolittle and has been published by University Science Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Science categories.
In these days of facile cloning and rapid DNA sequencing, it is not uncommon for investigators to find themselves with a DNA sequence that may or may not code for a known gene product. The sequence is 'open' when read in an appropriate frame, which is to say that there is a long run of amino acid codons before the appearance of a terminator codon. How can we find out if this 'unidentified reading frame' (URF) really codes for a genuine protein, and how can we identify it if it exists? There are two general strategies, both of which can also be applied to the characterization of any 'open reading frame' (ORF), whether or not it has been 'identified'. The first and simplest approach involves computer searching and analysis; the second employs antibodies raised against synthetic peptides patterned on the sequence of the expected gene product. Both methods have been used with great success by many investigators. Each has, nonetheless, its pitfalls and frustrations. This primer is meant to guide the researcher past those obstacles as much as possible. Graduate students and researchers interested in amino acid sequencing; molecular biologists, biochemists, chemists, and biotechnologists.
Primer To Analysis Of Genomic Data Using R
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Author : Cedric Gondro
language : en
Publisher: Springer
Release Date : 2015-05-18
Primer To Analysis Of Genomic Data Using R written by Cedric Gondro and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-18 with Medical categories.
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.
Automated Dna Sequencing And Analysis
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Author : Mark D. Adams
language : en
Publisher: Elsevier
Release Date : 1994-06-29
Automated Dna Sequencing And Analysis written by Mark D. Adams and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-06-29 with Science categories.
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.
Molecular Sequence Analysis
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Author : Sudhir Kumar
language : en
Publisher: Wiley-Liss
Release Date : 2009
Molecular Sequence Analysis written by Sudhir Kumar and has been published by Wiley-Liss this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Amino acid sequence categories.
Today, biological sequence data is available for biologists to translate analyses from datasets into knowledge that elucidates questions relating to evolution, biological function, and disease. This book introduces the computational and statistical methods required to facilitate these analyses. It progresses from analysis of a single sequence to those with increasing complexity, allowing the authors to discuss methods and techniques in the simplest setting before introducing more complicated material. No advanced knowledge of computer science, statistics, or biology is assumed, making it an ideal textbook for advanced undergraduate and graduate students. Features optional boxes with information about interesting sidelights and experimental techniques Takes a problems approach to facilitate enquiry-based learning in the classroom and for self-study Reviews the most useful database resources Includes sample data sets for self-study and Web exercises Lists examples Each chapter concludes with a list of further readings and helpful resources Supplementary website features datasets, links to databases, and additional problem sets Discusses the use of BioPerl to automate data retrieval Concludes with the authors' perspective on the future of comparative sequence analysis Authors use an innovative approach to introduce techniques and methods in a progressive fashion starting from the simplest (one sequence) case and ending with analysis of complex, large data sets. Small datasets presented in each chapter can be used as inquiry datasets to highlight biologically interesting properties or questions. References are given to sources for more thorough theoretical treatments, and to web sitescontaining the latest on-line documentation for use of software programs.
Sequence Organization In Interaction
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Author : Emanuel A. Schegloff
language : en
Publisher: Cambridge University Press
Release Date : 2007
Sequence Organization In Interaction written by Emanuel A. Schegloff and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Conversation analysis categories.
The first in a new series on conversation analysis, the study of talk in interaction. This volume looks at the ways in which turns-at-talk are ordered to make actions take place in conversation.
Dna And Protein Sequence Analysis
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Author : Martin J. Bishop
language : en
Publisher: Oxford University Press, USA
Release Date : 1997
Dna And Protein Sequence Analysis written by Martin J. Bishop and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Medical categories.
In recent years, the volume of nucleic acid and protein sequence generated by researchers has become a flood. Sequence databases have proliferated and good software for sequence analysis has become an absolute necessity. DNA and Protein Sequence Analysis: A Practical Approach provides clear and reasoned practical guidance in the analysis of sequence data and identifies the many pitfalls of interpreting data. The book begins with an overview of molecular biology databases and how to use them. The rest of the book is devoted to a critical appraisal of the software for sequence analysis, what software is available, and how to use it. DNA and Protein Sequence Analysis: A Practical Approach is an essential manual for all researchers in molecular biology and a valuable guide for advanced undergraduates. It will also be indispensable to computer scientists interested in bioinformatics.
Next Generation Sequencing And Sequence Data Analysis
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Author : Kuo Ping Chiu
language : en
Publisher: Bentham Science Publishers
Release Date : 2015-11-04
Next Generation Sequencing And Sequence Data Analysis written by Kuo Ping Chiu and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-04 with Science categories.
Nucleic acid sequencing techniques have enabled researchers to determine the exact order of base pairs - and by extension, the information present - in the genome of living organisms. Consequently, our understanding of this information and its link to genetic expression at molecular and cellular levels has lead to rapid advances in biology, genetics, biotechnology and medicine. Next-Generation Sequencing and Sequence Data Analysis is a brief primer on DNA sequencing techniques and methods used to analyze sequence data. Readers will learn about recent concepts and methods in genomics such as sequence library preparation, cluster generation for PCR technologies, PED sequencing, genome assembly, exome sequencing, transcriptomics and more. This book serves as a textbook for students undertaking courses in bioinformatics and laboratory methods in applied biology. General readers interested in learning about DNA sequencing techniques may also benefit from the simple format of information presented in the book.
Dna Sequencing Protocols
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Author : Annette M. Griffin
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-02
Dna Sequencing Protocols written by Annette M. Griffin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-02 with Science categories.
The purpose of DNA Sequencing Protocols is to provide detailed practical procedures for the widest range of DNA sequencing meth ods, and we believe that all the vanguard techniques now being applied in this fast-evolving field are comprehensively covered. Sequencing technology has advanced at a phenomenal rate since the original methods were first described in the late 1970s and there is now a huge variety of strategies and methods that can be employed to determine the sequence of any DNA of interest. More recently, a large number of new and innovative sequencing techniques have been developed, including the use of such novel polymerases as Tag poly merase and Sequenase, the harnessing of PCR technology for linear amplification (cycle) sequencing, and the advent of automated DNA sequencers. DNA sequencing is surely one of the most important techniques in the molecular biology laboratory. Sequence analysis is providing an increasingly useful approach to the characterization of biological systems, and major multinational projects are already underway to map and sequence the entire genome of organisms, such as Escherichia coli, Saccharomyces cerevisiae, Caenorhabditis elegans, and Homo sapiens. Most scientists recognize the importance of DNA sequence data and perceive DNA sequencing as a valuable and indispensable aspect of their work. Recent technological advances, especially in the area of automated sequencing, have removed much of the drudg ery that was formerly associated with the technique, whereas innova tive computer software has greatly simplified the analysis and manipulation of sequence data.