Bioinformatics: Sequence and Genome Analysis provides a comprehensive overview and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data as well as entire genomes.
This book provides a broad-based introduction to bioinformatics and genomics. This latest edition has a greater emphasis on a computational approach, with clear guidance of how software tools work and introductions to the use of command-line tools such as software for next-generation sequence analysis, the R programming language, and NCBI search utilities.
The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction.
Divided into three sections, this detailed volume covers central analysis strategies, standardization and data-management guidelines, and fundamental statistics for analyzing omics profiles, followed by a section on bioinformatics approaches for specific omics tracks, spanning genome, transcriptome, proteome, and metabolome levels, as well as an assortment of examples of integrated omics bioinformatics applications, complemented by case studies on biomarker and target identification in the context of human disease.
In Bioinformatics Methods in Clinical Research, experts examine the latest developments impacting clinical omics, and describe in great detail the algorithms that are currently used in publicly available software tools.