GeTeSEPdb

Gene profiles with temporal-specific expression patterns were defined as those whose expression has a specific pattern with respect to time. Using a high-throughput regression analysis approach, eight linear and nonlinear parametric models (linear, constant, logistic, logarithmic, exponential, power, trigonometric, quadratic functions) were fitted to gene expression profiles from time-series experiments to identify eight types of gene profiles with temporal-specific expression patterns.

In GeTeSEPdb, we manually collected and curated raw data from 2684 time-series transcriptomic datasets in the Gene Expression Omnibus (GEO) and ArrayExpress repositories. These datasets were derived from well-conducted time course studies (that had at least five time points) involving humans and various other organisms. We utilized Clust to cluster subsets of genes and performed regression analysis to identify patterns.As a result, we identified and deposited 2,644,370 gene profiles with temporal-specific expression patterns in GeTeSEPdb.