Computer Analysis Of Sequence Data Part I
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| Author | : Annette M. Griffin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 370 |
| Release | : 2008-02-02 |
| Genre | : Science |
| ISBN | : 1592595111 |
DNA sequencing has become increasingly efficient over the years, resulting in an enormous increase in the amount of data gen- ated. In recent years, the focus of sequencing has shifted, from being the endpoint of a project, to being a starting point. This is especially true for such major initiatives as the human genome project, where vast tracts of DNA of unknown function are sequenced. This sheer volume of available data makes advanced computer methods ess- tial to analysis, and a familiarity with computers and sequence ana- sis software a vital requirement for the researcher involved with DNA sequencing. Even for nonsequencers, a familiarity with sequence analysis software can be important. For instance, gene sequences already present in the databases can be extremely useful in the design of cloning and genetic manipulation experiments. This two-part work on Analysis of Data is designed to be a practical aid to the researcher who uses computers for the acquisition, storage, or analysis of nucleic acid (and/or p- tein) sequences. Each chapter is written such that a competent sci- tist with basic computer literacy can carry out the procedure successfully at the first attempt by simply following the detailed pr- tical instructions that have been described by the author. A Notes section, which is included at the end of each chapter, provides advice on overcoming the common problems and pitfalls sometimes enco- tered by users of the sequence analysis software. Software packages for both the mainframe and personal computers are described.
| Author | : Annette M. Griffin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 434 |
| Release | : 2008-02-02 |
| Genre | : Science |
| ISBN | : 159259512X |
DNA sequencing has become increasingly efficient over the years, resulting in an enormous increase in the amount of data gener ated. In recent years, the focus of sequencing has shifted, from being the endpoint of a project, to being a starting point. This is especially true for such major initiatives as the human genome project, where vast tracts of DNA of unknown function are sequenced. This sheer volume of available data makes advanced computer methods essen tial to analysis, and a familiarity with computers and sequence analy sis software a vital requirement for the researcher involved with DNA sequencing. Even for nonsequencers, a familiarity with sequence analysis software can be important. For instance, gene sequences already present in the databases can be extremely useful in the design of cloning and genetic manipulation experiments. This two-part work on Computer Analysis of Sequence Data is designed to be a practical aid to the researcher who uses computers for the acquisition, storage, or analysis of nucleic acid (and/or pro tein) sequences. Each chapter is written such that a competent scien tist with basic computer literacy can carry out the procedure successfully at the first attempt by simply following the detailed prac tical instructions that have been described by the author. A Notes section, which is included at the end of each chapter, provides advice on overcoming the common problems and pitfalls sometimes encoun tered by users of the sequence analysis software.
| Author | : Martin J. Bishop |
| Publisher | : IRL Press |
| Total Pages | : 384 |
| Release | : 1997 |
| Genre | : Science |
| ISBN | : |
Sequence data--either lists of nucleotides or of amino acids--are now easily gathered using automated equipment; the real effort is involved in interpreting the data to produce predictions of protein structure or function. With the advent of worldwide computer networks, a plethora of software is now available for sequence analysis. This book describes the techniques for computer analysis of sequence data, with the emphasis on general issues rather than specific algorithms. Unlike many books on these topics, which focus on the "how-to" aspects of software packages, this one places more emphasis on the science behind the packages and on interpretation of the results.
| Author | : Richard Durbin |
| Publisher | : Cambridge University Press |
| Total Pages | : 372 |
| Release | : 1998-04-23 |
| Genre | : Science |
| ISBN | : 113945739X |
Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
| Author | : Eugene V. Koonin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 482 |
| Release | : 2013-06-29 |
| Genre | : Science |
| ISBN | : 1475737831 |
Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.
| Author | : Annette M. Griffin |
| Publisher | : Humana Press |
| Total Pages | : 392 |
| Release | : 1994-02-23 |
| Genre | : Science |
| ISBN | : 9780896032460 |
These comprehensive, up-to-date handbooks are designed for those scientists engaged in the computer analysis of sequence data who want hands-on help in using the most important commercial software available, but simply do not have the time to become computer experts. The expert authors guide you through the programs with easy-to-follow, step-by-step instructions. The topics covered include translations of sequences, sequence alignment, phylogenetic trees, analysis of RNA secondary structure, database searching, submission of data to EMBL/GenBank/DDBJ/etc., maintaining sequence projects, and using patterns to analyze protein sequences. Many chapters have been written by world-class authorities in the field, among them R. Staden, M. Gribskov, D. Higgins, W. Pearson, M. Zuker, and G. Barton. Each volume shares five essential chapters concerning the analysis of sequence data, the FASTA program, converting between sequence formats, obtaining software via INTERNET, and the submission of nucleotide sequence data. Part I covers GCG, MicroGenie, PC/GENE, and FASTA programs. Part II covers Staden and Staden Plus, DNA Strider, FASTA, and MacVector programs.
| Author | : Guozhu Dong |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 160 |
| Release | : 2007-10-31 |
| Genre | : Computers |
| ISBN | : 0387699376 |
Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place.
| Author | : Xuhua Xia |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 284 |
| Release | : 2007-05-08 |
| Genre | : Science |
| ISBN | : 030646893X |
Data Analysis in Molecular Biology and Evolution introduces biologists to DAMBE, a proprietary, user-friendly computer program for molecular data analysis. The unique combination of this book and software will allow biologists not only to understand the rationale behind a variety of computational tools in molecular biology and evolution, but also to gain instant access to these tools for use in their laboratories. Data Analysis in Molecular Biology and Evolution serves as an excellent resource for advanced level undergraduates or graduates as well as for professionals working in the field.
| Author | : John R. Gosden |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 508 |
| Release | : 2008-02-02 |
| Genre | : Medical |
| ISBN | : 1592595162 |
Chromosomes, as the genetic vehicles, provide the basic material for a large proportion of genetic investigations, from the construction of gene maps and models of chromosome organization, to the inves tigation of gene function and dysfunction. The study of chromosomes has developed in parallel with other aspects of molecular genetics, beginning with the first preparations of chromosomes from animal cells, through the development of banding techniques, which permitted the unequivocal identification of each chromosome in a karyotype, to the present analytical methods of molecular cytogenetics. Although some of these techniques have been in use for many years, and can be learned relatively easily, most published scientific reports—as a result of pressure on space from editors, and the response to that pressure by authors—contain little in the way of technical detail, and thus are rarely adequate for a researcher hoping to find all the necessary information to embark on a method from scratch. A new user needs not only a detailed description of the methods, but also some help with problem solving and sorting out the difficulties en countered in handling any biological system. This was the require ment to which the series Methods in Molecular Biology is addressed, and Chromosome Analysis Protocols forms a part of this series.
| Author | : G. Geoff Kneale |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 428 |
| Release | : 2008-02-02 |
| Genre | : Science |
| ISBN | : 1592595170 |
The study of protein-nucleic acid interactions is currently one of the most rapidly growing areas of molecular biology. DNA binding proteins are at the very heart of the regulation and control of gene expression, replication, and recombination: Enzymes that recognize and either modify or cleave specific DNA sequences are equally important to the cell. Some of the techniques reported in this volume can be used to identify previously unknown DNA binding proteins from crude cell extracts. Virtually all are capable of giving direct information on the molecular basis of the interaction—the location of the DNA binding site; the strength and specificity of binding; the identities of individual groups on specific bases involved in binding; the specific amino acid residues of the protein that interact with the DNA; or the effects of protein binding on gross conformation and local structure of DNA. The recognition of DNA sequences by proteins is a complex phenomenon, involving specific hydrogen bonding contacts to the DNA bases ("direct readout") and/or interactions with the sugar-phos phate backbone ("indirect readout"). The latter interactions can also be highly specific because of sequence-dependent conformational changes in the DNA. In addition, intercalation of planar aromatic amino acid side-chains between the DNA bases can occur, most notably with single-stranded DNA binding proteins. Furthermore, when bound, many DNA binding proteins induce drastic structural changes in the DNA as an integral part of their function.
