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The phylogenetic handbook : a practical approach to phylogenetic analysis and…
The Phylogenetic Handbook is a broad, hands on guide to theory and practice of nucleotide and protein phylogenetic analysis. This second edition includes six new chapters, covering topics such as Bayesian inference, tree topology testing and the impact of recombination on phylogenies, as well as a detailed section on molecular adaptation. The book has a stronger focus on hypothesis testing than…
- Edition
- 2nd
- ISBN/ISSN
- 9780521730716
- Collation
- xxvi, 723 p. : ill. : ind. ; 26 cm.
- Series Title
- -
- Call Number
- 578.012 Phy
Bioinformatics : a practical guide to the analysis of genes and proteins
This fully revised version of a world-renowned bestseller provides readers with a practical guide covering the full scope of key concepts in bioinformatics, from databases to predictive and comparative algorithms. Using relevant biological examples, the book provides background on and strategies for using many of the most powerful and commonly used computational approaches for biological discov…
- Edition
- 3rd
- ISBN/ISSN
- 9780471478782
- Collation
- xviii, 540 p. : ill. : ind. ; 25 cm.
- Series Title
- -
- Call Number
- 572.8 Bax b
Bioinformatics : sequence and genome analysis
As more species' genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider au…
- Edition
- 2nd
- ISBN/ISSN
- 9780879697129
- Collation
- xii, 692 p. : ill. : ind. ; 28 cm
- Series Title
- -
- Call Number
- 572.8 Mou b
Biological sequence analysis : probabilistic models of proteins and nucleic a…
Probablistic models are becoming increasingly important in analyzing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analyzing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring…
- Edition
- 10th
- ISBN/ISSN
- 9780521629713
- Collation
- xi, 357 p. : ill. : ind. ; 25 cm.
- Series Title
- -
- Call Number
- 572.8633 Dur b
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