Bioinformatics : a practical guide to NCBI databases and sequence alignments / Ismail D. Hamid.
Material type: TextSeries: Chapman & Hall/CRC computational biology seriesEdition: First editionDescription: xi , 456 pagesISBN:- 9781032123691
- 9781032128740
- 570.285 23 ISM-B
Item type | Current library | Home library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Book | Dept. of Aquatic Biology and Fisheries General Stacks | Dept. of Aquatic Biology and Fisheries | Genaral Biography | 570.285 ISM-B (Browse shelf(Opens below)) | Available | AQU6397 |
Browsing Dept. of Aquatic Biology and Fisheries shelves, Shelving location: General Stacks, Collection: Genaral Biography Close shelf browser (Hides shelf browser)
570.1/5195 QUI-P Practical R for biologists : an introduction / | 570.15195 RAJ-S Statistics for fisheries data analysis / | 570.285 CAR-D Data mining techniques for the life sciences / | 570.285 ISM-B Bioinformatics : a practical guide to NCBI databases and sequence alignments / | 570.72/4 MUL-V Vivarium : experimental, quantitative, and theoretical biology at Vienna's Biologische Versuchsanstalt / | 571.17 CUR-T5 The physiology of fishes / | 572/.51 BHA-M Metal ions in biochemistry / |
Includes bibliographical references and index.
"Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases, sequence alignment, and NCBI Sequence Local Alignment Search Tool (BLAST). As bioinformatics has become essential for life sciences, the book has been written specifically to address the need of a large audience including undergraduates, graduates, researchers, healthcare professionals, and bioinformatics professors who need to use the NCBI databases, retrieve data from them, and use BLAST to find evolutionarily related sequences, sequence annotation, construction of phylogenetic tree, and the conservative domain of a protein, to name just a few. Technical details of alignment algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations. This is the ideal textbook for bioinformatics courses taken by students of life sciences and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research"--
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