Bioinformatics and Molecular Evolution.
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 database...
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| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Chichester :
John Wiley & Sons,
2009.
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| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
MARC
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| 100 | 1 | |a Higgs, Paul G. | |
| 245 | 1 | 0 | |a Bioinformatics and Molecular Evolution. |
| 260 | |a Chichester : |b John Wiley & Sons, |c 2009. | ||
| 300 | |a 1 online resource (398 pages) | ||
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| 505 | 0 | |a Bioinformatics and Molecular Evolution; Full Contents; Preface; 1 Introduction: The revolution in biological information; 1.1 DATA EXPLOSIONS; 1.2 GENOMICS AND HIGH-THROUGHPUT TECHNIQUES; 1.3 WHAT IS BIOINFORMATICS?; 1.4 THE RELATIONSHIP BETWEEN POPULATION GENETICS, MOLECULAR EVOLUTION, AND BIOINFORMATICS; SUMMARY; 2 Nucleic acids, proteins, and amino acids; 2.1 NUCLEIC ACID STRUCTURE; 2.2 PROTEIN STRUCTURE; 2.3 THE CENTRAL DOGMA; 2.4 PHYSICO-CHEMICAL PROPERTIES OF THE AMINO ACIDS AND THEIR IMPORTANCE IN PROTEIN FOLDING; BOX 2.1 Polymerase chain reaction (PCR). | |
| 505 | 8 | |a 2.5 VISUALIZATION OF AMINO ACID PROPERTIES USING PRINCIPAL COMPONENT ANALYSIS2.6 CLUSTERING AMINO ACIDS ACCORDING TO THEIR PROPERTIES; BOX 2.2 Principal component analysis in more detail; SUMMARY; 3 Molecular evolution and population genetics; 3.1 WHAT IS EVOLUTION?; 3.2 MUTATIONS; 3.3 SEQUENCE VARIATION WITHIN AND BETWEEN SPECIES; 3.4 GENEALOGICAL TREES AND COALESCENCE; 3.5 THE SPREAD OF NEW MUTATIONS; 3.6 NEUTRAL EVOLUTION AND ADAPTATION; BOX 3.1 Th. | |
| 520 | |a 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 proteomics.:.; emphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to biological science students.:.; places bioinformatics in the context of evolutionary biology, includ. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Molecular evolution |x Mathematical models. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Computational biology. | |
| 700 | 1 | |a Attwood, Teresa K. | |
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