Author: Richard C. Deonier
Edition:
Binding: Hardcover
ISBN: 0387987851
Edition:
Binding: Hardcover
ISBN: 0387987851
Computational Genome Analysis: An Introduction (Statistics for Biology and Health)
Download Computational Genome Analysis: An Introduction (Statistics for Biology and Health) from rapidshare, mediafire, 4shared. Search and find a lot of engineering books in many category availabe for free download.
Computational Genome Analysis Free
Download Computational Genome Analysis engineering books for free.
Other engineering books
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
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 s
Bioinformatics and Functional Genomics
The bestselling introduction to bioinformatics and functional genomics-now in an updated editionWidely received in its previous edition, Bioinformatics and Functional Genomics offers the most broad-based introduction to this explosive new di
Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health)
Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods
An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)
This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical tec
Problems and Solutions in Biological Sequence Analysis
This book is the first of its kind to provide a large collection of bioinformatics problems with accompanying solutions. Notably, the problem set includes all of the problems offered in Biological Sequence Analysis (BSA), by Durbin et al., widely ado
No comments:
Post a Comment