Cross-Platform Transcriptomic Data Integration, Profiling, and Mining in Vibrio cholerae.

ABSTRACT: A large number of transcriptome studies generate important data and information for the study of pathogenic mechanisms of pathogens, including Vibrio cholerae. V. cholerae transcriptome data include RNA-seq and microarray: microarray data mainly include clinical human and environmental samples, and RNA-seq data mainly focus on laboratory processing conditions, including different stresses and experimental animals in vivo. In this study, we integrated the data sets of both platforms using Rank-in and the Limma R package normalized Between Arrays function, achieving the first cross-platform transcriptome data integration of V. cholerae. By integrating the entire transcriptome data, we obtained the profiles of the most active or silent genes. By transferring the integrated expression p

SUBMITTER: Qin ZX 

PROVIDER: S-EPMC10269641 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature