Abstract
Comparative transcriptomics, the study of gene expression across different species or conditions, provides critical insights into the evolution of gene regulation and function. By comparing transcriptomic data from various organisms, researchers can trace the evolutionary changes in gene expression patterns and identify conserved and divergent regulatory mechanisms. This article discusses the role of comparative transcriptomics in understanding gene expression evolution, focusing on techniques for transcriptome comparison, evolutionary analyses, and functional implications. We also explore the challenges and future directions in comparative transcriptomics, including the integration of multi-omics data and the use of advanced computational methods to decode gene regulatory evolution.
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