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020 _a0815340249
037 _cTextbook
040 _aCSL
_beng
_cCSL
041 _aeng
084 _aG11:(9S:71) P8
_qCSL
100 _aZvelebil, Marketa
_9852231
245 0 _aUnderstanding bioinformatics
260 _aNew York,
_bGarland Science:
_c2008.
300 _axxiii, 772p.
_b: col. ill
500 _aAppendix A-C, 695-720p.; Glossary 734-749p.; Index 751-772p.
520 _aSuitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms. Understanding Bioinformatics is an invaluable companion for students from their first encounter with the subject through to more advanced studies. The book is divided into seven parts, with the opening part introducing the basics of nucleic acids, proteins and databases. Subsequent parts are divided into 'Applications' and 'Theory' Chapters, allowing readers to focus their attention effectively. In each section, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. In Part 2, Sequence Alignments, the Applications Chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. Part 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Part 4 looks at the characteristics of whole genomes. In Parts 5 and 6 the focus turns to secondary and tertiary structure – predicting structural conformation and analysing structure-function relationships. The last part surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology.
650 _a Bioinformatics
_9852232
650 _aBiology
_9852233
700 _aBaum, Jeremy O.
_9852234
700 _aZvelebil, Marketa
_9852231
942 _hG11:(9S:71) P8
_cTB
_2CC
_n0
999 _c29850
_d29850