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This comprehensive textbook presents a self-contained guide to bioinformatics, defined in its broadest sense as the application of information science to biology. Emphasis... Læs mere
Thistimely text presents a comprehensive guide to genetic association, a new andrapidly expanding field that aims to elucidate how our genetic code (genotypes)influences the traits we possess (phenotypes).
After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. With the abundance of data... Læs mere
In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis.
Small molecule microarrays (SMM) were introduced just a decade ago in 1999 and, within a short space of time, have already established themselves as a vibrant, next generation platform for high-throughput screening.
Network Biology presents experimental and computational approaches currently prevalent in network biology by practiced experts in the field. The text offers an ensemble of procedures for graduate students and seasoned professionals looking to polish their skill sets.
Carbohydrate microarrays emerged as a key technology for the deciphering of the glycospace. This book aims to give the reader the theoretical and experimental clues necessary for the fabrication and implementation of carbohydrate microarrays.
The final section is a compilation of the key elements and main approaches used in pharmacokinetic and pharmacodynamic modeling, including the modeling of absorption,... Læs mere
This book presents computational biology methods by focusing on their applications, including primary sequence analysis, protein structure elucidation, transcriptomics and proteomics data analysis, and exploration of protein interaction networks.
This thorough book covers the most recent proteomics techniques, databases, bioinformatics tools, and computational approaches that are used for the identification and functional annotation of proteins and their structure.
This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology.
This volume introduces bioinformatics research methods for proteins, with special focus on protein post-translational modifications (PTMs) and networks.