An informatics research platform to make public gene expression time-course datasets reusable for more scientific discoveries.

ABSTRACT: The exponential growth of genomic/genetic data in the era of Big Data demands new solutions for making these data findable, accessible, interoperable and reusable. In this article, we present a web-based platform named Gene Expression Time-Course Research (GETc) Platform that enables the discovery and visualization of time-course gene expression data and analytical results from the NIH/NCBI-sponsored Gene Expression Omnibus (GEO). The analytical results are produced from an analytic pipeline based on the ordinary differential equation model. Furthermore, in order to extract scientific insights from these results and disseminate the scientific findings, close and efficient collaborations between domain-specific experts from biomedical and scientific fields and data scientists is required. T

SUBMITTER: Patra BG 

PROVIDER: S-EPMC7698665 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature