Application of R language and Bioconductor in genomic analysis

Author: Sun Xiao, Xie Jianming, Zhou Qing / Country: Mainland China
Publisher:
Publish Date: 2006-07-01
Features: This book is the first systematic introduction to the R language and Bioconductor software packages in China. R is a computer programming language and also an open software development platform. R offers powerful mathematical statistical analysis and scientific data visualization capabilities, providing various data processing, statistical analysis, and graphical display tools. Software researchers can continuously expand the functionality of R on this open platform, developing software tailored to specific applications. Bioconductor is an application software collection based on R, focused on genomic information analysis. The application functions of Bioconductor are presented to users in the form of integrated packages, which include various genomic data analysis and annotation tools, most of which are designed for the processing, analysis, annotation, and visualization of DNA microarray or gene chip data. Additionally, Bioconductor provides many data packages related to DNA microarrays. This book is aimed at computer application personnel and can serve as a reference for those engaged in mathematical statistical analysis, bioinformatics research, and applications.
This book is the first systematic introduction to the R language and Bioconductor software packages in China. R is a computer programming language and also an open software development platform. R offers powerful mathematical statistical analysis and scientific data visualization capabilities, providing various data processing, statistical analysis, and graphical display tools. Software researchers can continuously expand the functionality of R on this open platform, developing software tailored to specific applications. Bioconductor is an application software collection based on R, focused on genomic information analysis. The application functions of Bioconductor are mainly presented to users in the form of integrated packages, which include various genomic data analysis and annotation tools, most of which are designed for