TimesVector-Web: A Web Service for Analysing Time Course Transcriptome Data with Multiple Conditions.

ABSTRACT: From time course gene expression data, we may identify genes that modulate in a certain pattern across time. Such patterns are advantageous to investigate the transcriptomic response to a certain condition. Especially, it is of interest to compare two or more conditions to detect gene expression patterns that significantly differ between them. Time course analysis can become difficult using traditional differentially expressed gene (DEG) analysis methods since they are based on pair-wise sample comparison instead of a series of time points. Most importantly, the related tools are mostly available as local Software, requiring technical expertise. Here, we present TimesVector-web, which is an easy to use web service for analysing time course gene expression data with multiple conditions. The

SUBMITTER: Jang J 

PROVIDER: S-EPMC8775016 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature