Astrocytes are important glial cells involved in the ionic regulation of the extracellular fluid in the Central Nervous System (CNS), the formation of the blood brain barrier (BBB) and the support to neurons for the maintenance of the Krebs cycle intermediaries. Even though these cells are known to be important for the brain functioning, several of their functions and their development have not been fully elucidated. In this context, identifying the algorithms used for their analysis plays a pivotal role in the development of new strategies in the study of astrocytes. The main objective of this review is to summarize the techniques that have helped to obtain transcriptomic data in astrocytes and the new algorithms that were used to perform the analysis of experimental data, elucidating new studies in which these had been used. We also highlight the current transcriptomics approaches targeting astrocytes function as a possible target for pharmacological interventions.