Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles Aravind Subramanian, Pablo Tamayo, Vamsi K. Mootha, Sayan Mukherjee, Benjamin L. Ebert, Michael A. Gillette, Amanda Paulovich, Scott L. Pomeroy, Todd R. Golub, Eric S. Lander, and Jill P. Mesirov aBroad Institute of Massachusetts Institute of Technology and Harvard, 320 Charles Street, Cambrid
Regional and strain-specific gene expression mapping in the adult mouse brain
AbstractTo determine the genetic causes and molecular mechanisms responsible for neurobehavioral differences in mice, we used highly parallel gene expression profiling to detect genes that are differentially expressed between the 129SvEv and C57BL/6 mouse strains at baseline and in response to seizure. In addition, we identified genes that are differentially expressed in specific brain regions. We
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Multiplexed RNA structure characterization with selective 2′-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq)
Modeling and automation of sequencing-based characterization of RNA structure
Multiplexed RNA structure characterization with selective 2′-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq)
DNA motifs in human and mouse proximal promoters predict tissue-specific expression | PNAS