Computer Methods For Macromolecular Sequence Analysis PDF Download
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| Author | : Russell F. Doolittle |
| Publisher | : Academic Press |
| Total Pages | : 760 |
| Release | : 1996-05-23 |
| Genre | : Computers |
| ISBN | : |
Download Computer Methods for Macromolecular Sequence Analysis Book in PDF, ePub and Kindle
This volume supplements Volume 183 in the "Methods in Enyzmology" series and complements Volume 224. It addresses a variety of areas in which computers are used to manage and manipulate macromolecular sequence data. The manipulations include searching, aligning and determining the significance of similarities as well as the construction of phylogenetic trees that show evolutionary history of related sequences
| Author | : |
| Publisher | : Academic Press |
| Total Pages | : 711 |
| Release | : 1996-06-06 |
| Genre | : Science |
| ISBN | : 9780121821678 |
Download Computer Methods for Macromolecular Sequence Analysis Book in PDF, ePub and Kindle
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. More than 260 volumes have been published (all of them still in print) and much of the material is relevant even today--truly an essential publication for researchers in all fields of life sciences. Key Features * Databases and resources * Searching through databases * Multiple alignment and phylogenetic trees * Secondary structure considerations * Three-dimensional considerations
| Author | : Annette M. Griffin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 370 |
| Release | : 2008-02-02 |
| Genre | : Science |
| ISBN | : 1592595111 |
Download Computer Analysis of Sequence Data, Part I Book in PDF, ePub and Kindle
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 | : Arthur M. Lesk |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 280 |
| Release | : 1988 |
| Genre | : Language Arts & Disciplines |
| ISBN | : |
Download Computational Molecular Biology Book in PDF, ePub and Kindle
An overview of the field of computing with protein and nucleic acid sequences, aimed at investigators determining sequences, those who analyze them to identify unknown proteins and interpret their function, and those interested in the three-dimensional structures of biological molecules.
| Author | : Tieng K. Yap |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 219 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461313910 |
Download High Performance Computational Methods for Biological Sequence Analysis Book in PDF, ePub and Kindle
High Performance Computational Methods for Biological Sequence Analysis presents biological sequence analysis using an interdisciplinary approach that integrates biological, mathematical and computational concepts. These concepts are presented so that computer scientists and biomedical scientists can obtain the necessary background for developing better algorithms and applying parallel computational methods. This book will enable both groups to develop the depth of knowledge needed to work in this interdisciplinary field. This work focuses on high performance computational approaches that are used to perform computationally intensive biological sequence analysis tasks: pairwise sequence comparison, multiple sequence alignment, and sequence similarity searching in large databases. These computational methods are becoming increasingly important to the molecular biology community allowing researchers to explore the increasingly large amounts of sequence data generated by the Human Genome Project and other related biological projects. The approaches presented by the authors are state-of-the-art and show how to reduce analysis times significantly, sometimes from days to minutes. High Performance Computational Methods for Biological Sequence Analysis is tremendously important to biomedical science students and researchers who are interested in applying sequence analyses to their studies, and to computational science students and researchers who are interested in applying new computational approaches to biological sequence analyses.
| Author | : Annette M. Griffin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 434 |
| Release | : 2008-02-02 |
| Genre | : Science |
| ISBN | : 159259512X |
Download Computer Analysis of Sequence Data Part II Book in PDF, ePub and Kindle
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 | : Stephen Misener |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 495 |
| Release | : 2008-02-02 |
| Genre | : Science |
| ISBN | : 1592591922 |
Download Bioinformatics Methods and Protocols Book in PDF, ePub and Kindle
Computers have become an essential component of modern biology. They help to manage the vast and increasing amount of biological data and continue to play an integral role in the discovery of new biological relationships. This in silico approach to biology has helped to reshape the modern biological sciences. With the biological revolution now among us, it is imperative that each scientist develop and hone today’s bioinformatics skills, if only at a rudimentary level. Bioinformatics Methods and Protocols was conceived as part of the Methods in Molecular Biology series to meet this challenge and to provide the experienced user with useful tips and an up-to-date overview of current developments. It builds upon the foundation that was provided in the two-volume set published in 1994 entitled Computer Analysis of Sequence Data. We divided Bioinformatics Methods and Protocols into five parts, including a thorough survey of the basic sequence analysis software packages that are available at most institutions, as well as the design and implemen- tion of an essential introductory Bioinformatics course. In addition, we included sections describing specialized noncommercial software, databases, and other resources available as part of the World Wide Web and a stimul- ing discussion of some of the computational challenges biologists now face and likely future solutions.
| Author | : Kun-Mao Chao |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 218 |
| Release | : 2008-11-27 |
| Genre | : Computers |
| ISBN | : 184800320X |
Download Sequence Comparison Book in PDF, ePub and Kindle
Biomolecular sequence comparison is the origin of bioinformatics. This book gives a complete in-depth treatment of the study of sequence comparison. A comprehensive introduction is followed by a focus on alignment algorithms and techniques, proceeded by a discussion of the theory. The book examines alignment methods and techniques, features a new issue of sequence comparison - the spaced seed technique, addresses several new flexible strategies for coping with various scoring schemes, and covers the theory on the significance of high-scoring segment pairs between two unalignment sequences. Useful appendices on basic concepts in molecular biology, primer in statistics and software for sequence alignment are included in this reader-friendly text, as well as chapter-ending exercise and research questions A state-of-the-art study of sequence alignment and homology search, this is an ideal reference for advanced students studying bioinformatics and will appeal to biologists who wish to know how to use homology search tools.
| Author | : Sarah Barron |
| Publisher | : DIANE Publishing |
| Total Pages | : 120 |
| Release | : 1991 |
| Genre | : Genetics |
| ISBN | : 9780941375917 |
Download A Bibliography on Computational Molecular Biology and Genetics Book in PDF, ePub and Kindle
Provides a definitive bibliographic review of the literature related to DNA mapping and sequence analysis, with a focus on computer and mathematical aspects of molecular biology and genetics. Over 2200 entries, arranged by author's name.
| Author | : N. A. Kolchanov |
| Publisher | : World Scientific |
| Total Pages | : 590 |
| Release | : 1994 |
| Genre | : Science |
| ISBN | : 9789810213787 |
Download Computer Analysis of Genetic Macromolecules Book in PDF, ePub and Kindle
Molecular biology and genetics are fast-growing fields with significant results and findings being reported virtually every day. Raw data from the wet lab accumulate at an astonishing rate, making it necessary to analyze the biological data with the use of computers. This book reveals how the current challenges of molecular biology and genetics are met with computer and mathematical treatments. A combined effort of the Computational Genetics and Biophysics Group (Supercomputer Computations Research Institute, USA), the Theoretical Molecular Genetics (Russian Academy of Sciences, Russia) and the Bioinformatics Group (Consiglio Nazionale delle Ricerche, Italy), many of these findings are firsthand discoveries made by these groups. The book emphasizes the fundamental principles of the structural-functional organization of the 3 major classes of genetic macromolecules: DNA, RNA and proteins. It also introduces universally applicable theoretical principles into the enormous realm of raw data and develops an integrative, theoretical computer approach to the analysis of these macromolecules to gain insights into the complexities of their function and evolution.
