000 | 01689nam a22001937a 4500 | ||
---|---|---|---|
020 | _a9788120328587 | ||
082 |
_a572.86 _bSRI/B |
||
100 | _aSrinivas Vittal R | ||
245 | _aBioinformatics: a modern approach | ||
260 |
_aNew Delhi _bPHI _c2007 |
||
300 | _axxvii, 252p. | ||
490 | _aEastern economy edition | ||
500 | _aIncludes index | ||
505 | _aList of Figures. List of Tables. Preface. Acknowledgements. Prologue. Introduction. Part I: Introduction to Bioinformatics- 1. Getting Started with Linux. Part II: Programming, Database Management and Information Theory- 2. World Wide Web. 3. Perl and Java. 4. Information Theory. Part III: Sequence Databases and Sequence Analysis- 5. National Center for Biotechnology Information (NCBI). 6. Blast and Fasta: A Search for Similarity. Part IV: Multiple Sequence Alignment, Phylogenetic Analysis and Gene Prediction- 7. Pairwise Sequence Alignment and Dynamic Programming. 8. Phylogeny. 9. Gene Prediction. Part V: Protein Databases, Protein Domain Searching, and Structure Prediction- 10. Protein Data Bank (PDB). 11. Domain Assignment and Searching. 12. Native Structure Prediction and Protein Folding Prediction. Part VI: Sequencing & Genome Mapping- 13. Genome Sequencing. 14. Maps. Part VII: Microarrays & Systems Biology- 15. Why the Buzz About Microarrays? 16. Microarray Design, Data Acquisition and Analysis. 17. Proteomics. 18. Systems Biology-The Holy Grail of Integration. 19. Public Domain Databases and Analysis Tools: A Compendium. Model Questions. Appendix: Fundamentals of Probability. Epilogue. Bibliography Index. | ||
650 | _aBioinformatics | ||
650 | _aBiochemistry | ||
650 | _aBiology | ||
942 | _cBK | ||
999 |
_c615095 _d615095 |