Emerging Trends In Computational Biology, Bioinformatics, And Systems Biology

Książki Obcojęzyczne>Angielskie>Mathematics & science>Biology, life sciencesKsiążki Obcojęzyczne>Angielskie>Computing & information tec...

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Advances in Bioinformatics and Computational Biology Springer, Berlin

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This book constitutes the refereed proceedings of the 7th Brazilian Symposium on Bioinformatics, BSB 2012, held in Campo Grande, Brazil, in August 2012. §The 16 regular papers presented were carefully reviewed and selected for inclusion in this book. It also contains a joint paper from two of the guest speakers. The Brazilian Symposium on Bioinformatics covers all aspects of bioinformatics and computational biology, including sequence analysis; motifs, and pattern matching; biological databases, data management, data integration, and data mining; biomedical text mining; structural, comparative, and functional genomics; personal genomics; protein structure, modeling, and simulation; gene identification, regulation and expression analysis; gene and protein interaction and networks; molecular docking; molecular evolution and phylogenetics; computational systems biology; computational proteomics; statistical analysis of molecular sequences; algorithms for problems in computational biology; applications in molecular biology, biochemistry, genetics, medicine, microbiology and associated subjects.

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Fundamentals of Bioinformatics and Computational Biology Springer International Publishing AG

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This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolbox . It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today s biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.

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Genedis 2016: Computational Biology and Bioinformatics

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Fundamentals of Bioinformatics and Computational Biology: Methods and Exercises in MATLAB

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11th International Conference on Practical Applications of Computational Biology Bioinformatics

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Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics

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Bioinformatics and Computational Biology

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Parallel Computing for Bioinformatics & Computational Biolog John Wiley & Sons

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Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics. Parallel Computing for Bioinformatics and Computational Biology is a contributed work that serves as a repository of case studies, collectively demonstrating how parallel computing streamlines difficult problems in bioinformatics and produces better results. Each of the chapters is authored by an established expert in the field and carefully edited to ensure a consistent approach and high standard throughout the publication. The work is organized into five parts: Algorithms and models Sequence analysis and microarrays Phylogenetics Protein folding Platforms and enabling technologies Researchers, educators, and students in the field of bioinformatics will discover how high-performance computing can enable them to handle more complex data sets, gain deeper insights, and make new discoveries.

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Bioinformatics for Biologists Cambridge University Press

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The computational education of biologists is changing to prepare students for facing the complex datasets of today's life science research. In this concise textbook, the authors' fresh pedagogical approaches lead biology students from first principles towards computational thinking. A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept. Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors

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Microbial Gene Essentiality: Protocols and Bioinformatics Humana Press Inc.

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This book contains a comprehensive collection of experimental and computational strategies and techniques for microbial genome-scale essentiality studies, developed and presented by the leading groups in the field. It contains detailed description of the procedures, discussion of potential difficulties and failures. All protocols follow the successful Methods in Molecular Biology series format.Microbial Gene Essentiality: Protocols and Bioinformatics contains a comprehensive collection of experimental and computational strategies and techniques for microbial genome-scale essentiality studies, developed and presented by the leading groups in the field. In addition to wet-lab protocols, the book describes (i) statistical methods essential for planning successful large-scale essentiality screens, as well for data evaluation and analysis; (ii) in-silico prediction of gene essentiality using genome-scale reconstructed metabolic models; and (iii) data integration and comparative analysis in the context of genomic databases. This volume provides researchers with a first-stop guide for choosing the most appropriate strategy for planned essentiality studies. Experimental and computational aspects are equally important in genome-scale gene essentiality analysis, as in all other genomic technologies, and Microbial Gene Essentiality: Protocols and Bioinformatics reflects both of these aspects. All protocols follow the successful Methods in Molecular Biology series format, each offering an introduction outlining the principles behind the techniques, step-by-step instructions, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding pitfalls, and are intended for both novice and expert scientists.

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Genomics and Bioinformatics Cambridge University Press

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With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for skilled bioinformaticians. Designed for biologists without previous programming experience, this textbook provides a hands-on introduction to Unix, Perl and other tools used in sequence bioinformatics. Relevant biological topics are used throughout the book and are combined with practical bioinformatics examples, leading students through the process from biological problem to computational solution. All of the Perl scripts, sequence and database files used in the book are available for download at the accompanying website, allowing the reader to easily follow each example using their own computer. Programming examples are kept at an introductory level, avoiding complex mathematics that students often find daunting. The book demonstrates that even simple programs can provide powerful solutions to many complex bioinformatics problems.

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R Programming for Bioinformatics Taylor & Francis Ltd

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Due to its data handling and modeling capabilities as well as its flexibility, R is the most widely used software in bioinformatics. This title explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. It covers the general properties of the R language.

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Bioinformatics with Python Cookbook Packt Publishing Limited

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Using the hands-on recipes, you'll be able to apply your learning to practical research and analysis in computational biology with Python. You'll understand modern, practical applications of bioinformatics using popular programming techniques and frameworks to deal with the ever-increasing deluge of bioinformatics data.

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Computational Methods For Fragment Spectrum Interpretation

Książki Obcojęzyczne>Angielskie>Mathematics & science>Biology, life sciences>Cellular biology (cytology)

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