000 02437nam a2200169Ia 4500
999 _c293796
_d293796
020 _a9780521706100
082 _a572.80285 XIO-E
100 _a Jin Xiong
245 _aEssential Bioinformatics
260 _a New York
_bCambridge University Press
_c2006
300 _a xi, 339 p. : ill. (some col.) ; 27 cm.
500 _aIncludes bibliographical references and index.
505 _a Introduction to biological databases -- Pairwise sequence alignment -- Database similarity searching -- Multiple sequence alignment -- Profiles and hidden Markov models -- Protein motifs and domain prediction -- Gene prediction -- Promoter and regulatory element prediction -- Phylogenetics basics -- Phylogenetic tree construction methods and programs -- Protein structure basics -- Protein structure visualization, comparision, and classification -- Protein secondary structure prediction -- Protein tertiary structure prediction -- RNA structure prediction -- Genome mapping, assembly, and comparison -- Functional genomics -- Proteomics.
520 _aEssential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.
650 _a Bioinformatics. Computational Biology.
942 _cBK