This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques.
A comprehensive, authoritative look at an emergent area in post-genomic science, Evolutionary genomics is an up-and-coming, complex field that attempts to explain the biocomplexity of the living world.
Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, and how the application of bioinformatics to these life science issues can improve healthcare by accelerating drug discovery and development.
The only book available in the area of forward-time population genetics simulations applicable to both biomedical and evolutionary studies The rapid increase of the power of personal computers has led to the use of serious forward-time simulation programs in genetic studies.
The only book available in the area of forward-time population genetics simulations applicable to both biomedical and evolutionary studies The rapid increase of the power of personal computers has led to the use of serious forward-time simulation programs in genetic studies.
Introductory guide to human population genetics and microevolutionary theory Providing an introduction to mathematical population genetics, Human Population Genetics gives basic background on the mechanisms of human microevolution.
Introductory guide to human population genetics and microevolutionary theory Providing an introduction to mathematical population genetics, Human Population Genetics gives basic background on the mechanisms of human microevolution.
Gene duplication has long been believed to have played a major role in the rise of biological novelty through evolution of new function and gene expression patterns.
Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.
Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.
A major update of a best-selling textbook that introduces students to the key experimental and analytical techniques underpinning life science research.
A major update of a best-selling textbook that introduces students to the key experimental and analytical techniques underpinning life science research.
This book provides expertly written guidance on the regulation of genetically modified organisms (GMOs) in developing countries, including recommendations about risk analysis and governance.
This book provides expertly written guidance on the regulation of genetically modified organisms (GMOs) in developing countries, including recommendations about risk analysis and governance.
