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. 2017 Dec 22;7:18073. doi: 10.1038/s41598-017-18287-w

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Overview of the experimental design. Schematic representation of the analysis, gray blocks represent the biological replicates (RNA-Seq) for each time point. The newly generated developmental time course of the hippocampal transcriptome is integrated with the single cell data of⁸ to generate an unbiased and fully data-driven prediction of the developmental drivers.