Analyzing Transcriptome Phenotype Correlations.

Citation: Li, BT, Lim, JX, Ling, MHT. 2019. Analyzing Transcriptome-Phenotype Correlations. In: Guenther, R. and Steel, D. (eds.), Encyclopedia of Bioinformatics and Computational Biology, Volume 3, pages 819-824. Oxford: Elsevier. ISBN 978-0-12811-414-8.

Link to [abstract].

Advancements in high-throughput transcriptomics methods in the last 2 decades had enabled the many studies aiming to examine the transcriptome differences between two samples or across time points. Transcriptomic experimental techniques are more developed and readily available compared to that of proteome, metabolome, and fluxome. Transcriptome is the first order activity of the genome, and leading higher order changes; such as, changes in proteome, metabolome, and fluxome. However, the eventual aim is to understand how changes in the omics results in phenotypic differences between the samples. This article gives an overview of transcriptomic techniques and how phenotypic differences can be elucidated.