methods for computational gene prediction

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Methods For Computational Gene Prediction

Author : William H. Majoros
ISBN : UOM:39015074055628
Genre : Computers
File Size : 44. 1 MB
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A self-contained, rigorous text describing models used to identify genes in genomic DNA sequences.

Computational Methods In Molecular Biology

Author : S.L. Salzberg
ISBN : 0080860931
Genre : Computers
File Size : 37. 68 MB
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Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities. This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms. The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book. A secondary audience will be computer scientists developing techniques with applications in biology. An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.

Gene Prediction

Author : Martin Kollmar
ISBN : 1493991728
Genre : Science
File Size : 55. 10 MB
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This volume introduces software used for gene prediction with focus on eukaryotic genomes. The chapters in this book describe software and web server usage as applied in common use-cases, and explain ways to simplify re-annotation of long available genome assemblies. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary computational requirements, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Gene Prediction: Methods and Protocols is a valuable resource for researchers and research groups working on the assembly and annotation of single species or small groups of species. Chapter 3 is available open access under a CC BY 4.0 license via link.springer.com.

Comparative Gene Finding

Author : Marina Axelson-Fisk
ISBN : 9781849961042
Genre : Science
File Size : 50. 74 MB
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Comparative genomics is a new and emerging ?eld, and with the explosion of ava- able biological sequences the requests for faster, more ef?cient and more robust algorithms to analyze all this data are immense. This book is meant to serve as a self-contained instruction of the state-of-the-art of computational gene ?nding in general and of comparative approaches in particular. It is meant as an overview of the various methods that have been applied in the ?eld, and a quick introduction into how computational gene ?nders are built in general. A beginner to the ?eld could use this book as a guide through to the main points to think about when constructing a gene ?nder, and the main algorithms that are in use. On the other hand, the more experienced gene ?nder should be able to use this book as a reference to different methods and to the main components incorporated in these methods. I have focused on the main uses of the covered methods and avoided much of the technical details and general extensions of the models. In exchange I have tried to supply references to more detailed accounts of the different research areas touched upon. The book, however, makes no claim on being comprehensive.

Introduction To Computational Biology

Author : Bernhard Haubold
ISBN : 9783764373870
Genre : Science
File Size : 54. 75 MB
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Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.

Bioinformatics Genomics And Proteomics

Author : Ruchi Singh
ISBN : 9789325978553
Genre : Technology & Engineering
File Size : 48. 48 MB
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This is an innovative textbook for undergraduates as well as postgraduates offering basic knowledge of biology. Its aim is to provide state-of-the-art information about this developing science that has the potential to replace existing biological approaches to study genes and proteins. The chapters are explained in a concise yet detailed manner, including ample cross-references, references to literature and databases, tables and illustrations. The book's sound approach to this intricately complex field makes it an exceptional resource for further exploration into biochemistry, molecular biology, genomics and drug designing fields. Abundant learning features make this book the ideal teaching and learning tool. KEY FEATURES • Illustrations to bolster understanding of complex biochemical relations • Tables for quick access to precise data • Extensive end-of-chapter exercises and references • The most basic details furnished for those who are new to biology • User-friendly, Internet-based bioinformatics tools that allow researchers to extract information from databases and analyze it • Analysis of one software tool discussed in each chapter step-by-step from entering the input till interpretation of the results This is an in-depth textbook written for the biologist who wants a thorough understanding of the popular bioinformatics programs and molecular databases currently in use. It provides a broad, application-oriented overview of this technology.

Bioinformatics

Author : Andreas D. Baxevanis
ISBN : 9781119335962
Genre : Science
File Size : 67. 5 MB
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Praise for the third edition of Bioinformatics “This book is a gem to read and use in practice.” —Briefings in Bioinformatics "This volume has a distinctive, special value as it offers an unrivalled level of details and unique expert insights from the leading computational biologists, including the very creators of popular bioinformatics tools." —ChemBioChem “A valuable survey of this fascinating field. . . I found it to be the most useful book on bioinformatics that I have seen and recommend it very highly.” —American Society for Microbiology News “This should be on the bookshelf of every molecular biologist.” —The Quarterly Review of Biology The field of bioinformatics is advancing at a remarkable rate. With the development of new analytical techniques that make use of the latest advances in machine learning and data science, today’s biologists are gaining fantastic new insights into the natural world’s most complex systems. These rapidly progressing innovations can, however, be difficult to keep pace with. The expanded fourth edition of the best-selling Bioinformatics aims to remedy this by providing students and professionals alike with a comprehensive survey of the current field. Revised to reflect recent advances in computational biology, it offers practical instruction on the gathering, analysis, and interpretation of data, as well as explanations of the most powerful algorithms presently used for biological discovery. Bioinformatics, Fourth Edition offers the most readable, up-to-date, and thorough introduction to the field for biologists at all levels, covering both key concepts that have stood the test of time and the new and important developments driving this fast-moving discipline forwards. This new edition features: New chapters on metabolomics, population genetics, metagenomics and microbial community analysis, and translational bioinformatics A thorough treatment of statistical methods as applied to biological data Special topic boxes and appendices highlighting experimental strategies and advanced concepts Annotated reference lists, comprehensive lists of relevant web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics Bioinformatics is an indispensable companion for researchers, instructors, and students of all levels in molecular biology and computational biology, as well as investigators involved in genomics, clinical research, proteomics, and related fields.

Microbial Functional Genomics

Author : Jizhong Zhou
ISBN : 0471071900
Genre : Medical
File Size : 61. 44 MB
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Genomics: toward a genome-level understanding of the structure, functions, and evolution of bioloical systems; Microbial diversity and genomics. Computational genome annotation. Microbial evolution from a genomics perspective. Computational methods for functional prediction of genes. DNA microarray technology. Microarray gene expression data analysis. Mutagenesis as a genomic tool for studying gene function. Mass spectrometry. Identification of protein-ligand interactions. The functional genomics of model organisms: addressing old questions from a new perspective. Functional genomic analysis of bacterial pathogens and environmentally significant microorganisms. The impact of genomics on antimicrobial drug discovery and toxicology. Application of microarray-based genomic technology to mutation analysis and microbial detection. Future perspectives: genomics beyond single cells.

Knowledge Discovery And Emergent Complexity In Bioinformatics

Author : Karl Tuyls
ISBN : 9783540710363
Genre : Science
File Size : 89. 59 MB
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This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Knowledge Discovery and Emergent Complexity in Bioinformatics, KDECB 2006, held in Ghent, Belgium, in May 2006, in connection with the 15th Belgium-Netherlands Conference on Machine Learning. The 12 revised full papers cover various topics in the areas of knowledge discovery and emergent complexity research in bioinformatics.

Genomics And Proteomics

Author : Sándor Suhai
ISBN : 9780306468230
Genre : Science
File Size : 73. 40 MB
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Genome research will certainly be one of the most important and exciting sci- tific disciplines of the 21st century. Deciphering the structure of the human genome, as well as that of several model organisms, is the key to our understanding how genes fu- tion in health and disease. With the combined development of innovativetools, resources, scientific know-how, and an overall functional genomic strategy, the origins of human and other organisms’geneticdiseases can be traced. Scientificresearch groups and dev- opmental departments of several major pharmaceutical and biotechnological companies are using new, innovative strategies to unravel how genes function, elucidating the gene protein product, understanding how genes interact with others-both in health and in the disease state. Presently, the impact of the applications of genome research on our society in medicine, agriculture and nutrition will be comparable only to that of communication technologies. In fact, computational methods, including networking, have been playing a substantial role even in genomics and proteomics from the beginning. We can observe, however, a fundamental change of the paradigm in life sciences these days: research focused until now mostly on the study of single processes related to a few genes or gene products, but due to technical developments of the last years we can now potentially identify and analyze all genes and gene products of an organism and clarify their role in the network of lifeprocesses.

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