Here, hybridization of a single sample on a single microarray enables comparisons across many microarrays (Zvelebil, M. & Baum, J.O. ()). Pairwise sequence alignment is the problem of identifying similarities and differences between a pair of DNA or protein sequences . This books (Understanding Bioinformatics [DOWNLOAD]) Made by PDF files, Read Online Understanding Bioinformatics [DOWNLOAD]. Marketa J Zvelebil; Jeremy O Baum. Suitable for advanced undergraduates & postgraduates, this book provides a definitive guide to bioinformatics. It takes a conceptual approach & guides the reader from first principles through to an understanding of the computational techniques &.
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Understanding bioinformatics / Marketa Zvelebil & Jeremy O. Baum. Also Titled. Bioinformatics. Author. Zvelebil, Marketa J, (author.) Other Authors. Baum. Paperity: the 1st multidisciplinary aggregator of Open Access journals & papers. Free fulltext PDF articles from hundreds of disciplines, all in one place. New York: Garland Science, p. Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a.
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Zvelebil M.J., Baum O.J. Understanding Bioinformatics
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You already recently rated this item. Your rating has been recorded. Write a review Rate this item: Preview this item Preview this item. Understanding bioinformatics Author: New York: Print book: English View all editions and formats Summary: Find a copy online Links to this item Table of contents Table of contents.
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Find a copy in the library Finding libraries that hold this item Details Material Type: Internet resource Document Type: Provides a guide to the field of Bioinformatics and takes reader from first principles through to an understanding of computational techniques and algorithms. It introduces the basics of nucleic acids, proteins and databases.
Its each chapter uses mind-maps and flow diagrams to give an overview of conceptual links within each topic. Read more Reviews Editorial reviews. Publisher Synopsis 'Congratulations on a fine book! User-contributed reviews Add a review and share your thoughts with other readers.
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Similar Items Related Subjects: The structure and organization of proteins is also discussed. This information is very basic, but for the people without any biological knowledge as mathematicians or statisticians it can be useful.
The further text is divided into seven parts devoted to individual topics. These parts contain both, Application chapters, which provides a fast and straightforward route to understanding the main concept and Theory chapters, which gives more details and presents the underlying mathematics.
The part 3 deals with evolutionary processes, it presents the method to obtain phylogenetic trees from sequence dataset. The part 4 leads us through the utilization of the special programs for gene prediction, prediction of promoter region and other steps in genome analysis.
The following part 5 provides the methods of predicting the secondary structure on sequence.
The specialized prediction methods for transmembrane proteins are mentioned. The next part 6 deals with protein tertiary structure, and focuses on principles of homology modelling. The structure-function relationships are also discussed.
The last part helps us to analyzed large-scale experiments with large numbers of data microarrays, 2D electrophoreses, SAGE. The text is accompanied with three appendices: Book has very good graphic arrangement.Received Dec 6; Accepted Jan The next part 6 deals with protein tertiary structure, and focuses on principles of homology modelling.
Also Titled Bioinformatics.
English ISBN Write a review Rate this item: Understanding bioinformatics is written for advanced undergraduate and graduate students, but in my opinion this book is very useful for many scientist utilizing new progressive methods based on analyzing of large datasets, because all research workers in the areas of biomolecular science are now expected to be competent in several areas of sequence analysis and often, additionally, in protein structure analysis and other more advanced bioinformatics techniques.
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