Bioinformatics: Volume I: Data, Sequence Analysis and Evolution

Description

Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume I: Data, Sequence Analysis and Evolution examines a selection of methods involving the generation and organization of data, including sequence data, RNA and protein structures, microarray expression data and functional annotations, methods for discovering the functional components of genomes, whether they be genes, alternative splice sites, non-coding RNAs or regulatory motifs, and several of the most interesting methods in phylogenetics and evolution.

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1. Ebooks list page : 2592
2. Bioinformatics for DNA Sequence Analysis, vol.537 - Bioinformatics for DNA Sequence Analysis (2009)
3. Bioinformatics: Sequence and Genome Analysis
4. Bioinformatics: Sequence and Genome Analysis
5. Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data (2007)
6. Bioinformatics: Sequence and Genome Analysis (Genome Analysis)
7. Bioinformatics: Sequence Alignment and Markov Models
8. Bioinformatics: Sequence Alignment and Markov Models
9. Bioinformatics: Sequence, Structure and Databanks: A Practical Approach
10. [share_ebook] Bioinformatics: Sequence Alignment and Markov Models
11. Bioinformatics: Sequence, Structure and Databanks By Des Higgins, Willie Taylor
12. [share_ebook] Analysis of Variance for Random Models, Volume 2: Unbalanced Data: Theory, Methods, Applications, and Data Analysis
13. "Data Analysis in Molecular Biology and Evolution"
14. Structural Approaches to Sequence Evolution: Molecules, Networks, Populations
15. Analysis of Messy Data, Volume III: Analysis of Covariance
16. Sequence - Evolution - Function: Computational Approaches in Comparative Genomics by Eugene V. Koonin