Bioinformatics and molecular evolution / Naresh Mahajan
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9789351116936
- 572.8 22 NAR-B
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
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IUCEIB Library, University of Kerala General Stacks | IUCEIB Library, University of Kerala | 572.8 NAR.B (Browse shelf(Opens below)) | Available | CEB255 |
Includes bibliographical references and index.
The revolution in biological information -- Nucleic acids, proteins, and amino acids -- Molecular evolution and population genetics -- Models of sequence evolution -- Information resources for genes and proteins -- Sequence alignment algorithms -- Searching sequence databases -- Phylogenetic methods -- Patterns in protein families -- Probabilistic methods and machine learning -- Further topics in molecular evolution and phylogenetics -- Genome evolution -- DNA microarrays and the 'omes.
Annotation In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology. This accessible text:provides a thorough examination of sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays, and proteomicsemphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to biological science studentsplaces bioinformatics in the context of evolutionary biology, including population genetics, molecular evolution, molecular phylogenetics, and their applicationsfeatures end-of-chapter problems and self-tests to help students synthesize the materials and apply their understandingis accompanied by a dedicated website - www.blackwellpublishing.com/higgs - containing downloadable sequences, links to web resources, answers to self-test questions, and all artwork in downloadable format (artwork also available to instructors on CD-ROM). This important textbook will equip readers with a thorough understanding of the quantitative methods used in the analysis of molecular evolution, and will be essential reading for advanced undergraduates, graduates, and researchers in molecular biology, genetics, genomics, computational biology, and bioinformatics courses.
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