Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The ...information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This material is written for statisticians who are interested in modeling and analyzing high-throughput data. Chapters by experts in the field offer a thorough introduction to the biological and technical principles behind multiplatform high-throughput experimentation.
Bioinformatics Polanski, Andrzej; Kimmel, Marek
2007, 2007-01-15
eBook
This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computing tools used to manage the enormous data sets involved. The first part of the ...book covers mathematical and computational methods, with practical applications presented in the second.
Written to make the 'new' information-based bioinformatics intelligible to both the 'bio' and the 'info' audiences, this book identifies the types of information that genomes transmit, shows how ...competition between different types is resolved in the genomes of different organisms, and identifies the evolutionary forces involved.
