Bioinformatics (Más de 13.000 resultados)

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Paperback. Condición: Good. Provides tips for using servers and places to seek resources to find out about what's going on in the bioinformatics world. This book helps you: analyze all types of sequences; use all types of databases; work with DNA and protein sequences; conduct similarity searches; build a multiple sequence alignment; and edit and publish alignments. …

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Paperback. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condición: good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

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Hardback. Condición: Good. Bioinformatics concerns the application of information technology to the study and analysis of biological and in particular genetic, data. The field has been further developed by the increase in DNA data generation. This has led to the generation of massive data sets. However, students of bioinformatics should not simply restrict their interests to computer science theory. Substantial training in various areas of biology, such as molecular genetics, is essential for a deeper understanding of the subject. This book provides an introductory account of probability theory, statistics and stochastic process theory. …

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Condición: Very Good. A first textbook for upper-level undergraduates and first-year graduate students which combines integrated Web exercises with a problem-solving approach to train students in basic hands-on genomic analysis.

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Paperback. Condición: Good. As more species' genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider audience, including advanced undergraduate and graduate students. New features include chapter guides and explanatory information panels and glossary terms. New chapters in this second edition cover statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining. Practically oriented problems at the ends of chapters enhance the value of the book as a teaching resource. The book also serves as an essential reference for professionals in molecular biology, pharmaceutical, and genome laboratories.…