We wish to establish a Research Computing Core (RCC) to complement both the imaging core and to provide an underlying platform to support a seamless continuation of computation from the advanced technology and science provided from our partnering Pis, Drs. Hensch, Dulac and Lichtman. The Research Computing Core will pay special interest to the analysis and genomic/connectomic studies of imprinting within pan/albumin (PV)-positive GABAergic interneurons. Advanced tools for automated image segmentation of neurons, synapses, and genome wide informatics analysis will be developed in close collaboration within the imaging core led by Dr. Zhuang. These tools will also enhance and support the informatics analysis of genome studies from Dr. Dulac's team. In addition, significant information technology infrastructure will be provided to support multi-terabyte data sets resulting from Dr. Lichtman's laboratory studies.

Public Health Relevance

Through collaboration with Drs. Dulac, Lichtman, Hensch and our partner Dr Zhuang in the imaging core, the Research Computing Core (RCC) will help provide advanced computation, large scale genomic data analysis and support for our combined and continued studies into brain function shaped by the genetics and environment during critical periods of neuronal circuit development. This is a one of a kind endeavor pulling together existing partnerships into a cohesive core, further extending the ability for the Research Computing organization to not only support the individual faculty, but more importantly to actively extend the reach of the RCC to be able to reflect the true collaborative nature of a Conte Center. By also welcoming in students and researchers into the core RCC will be able to provide more than just traditional

National Institute of Health (NIH)
National Institute of Mental Health (NIMH)
Specialized Center (P50)
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Special Emphasis Panel (ZMH1-ERB-S)
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Harvard University
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Hayworth, Kenneth J; Morgan, Josh L; Schalek, Richard et al. (2014) Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits. Front Neural Circuits 8:68
Gogolla, Nadine; Takesian, Anne E; Feng, Guoping et al. (2014) Sensory integration in mouse insular cortex reflects GABA circuit maturation. Neuron 83:894-905
Hensch, Takao K (2014) Bistable parvalbumin circuits pivotal for brain plasticity. Cell 156:17-9
Lichtman, Jeff W; Pfister, Hanspeter; Shavit, Nir (2014) The big data challenges of connectomics. Nat Neurosci 17:1448-54
Tomassy, Giulio Srubek; Berger, Daniel R; Chen, Hsu-Hsin et al. (2014) Distinct profiles of myelin distribution along single axons of pyramidal neurons in the neocortex. Science 344:319-24
Kobayashi, Yohei; Hensch, Takao K (2013) Germline recombination by conditional gene targeting with Parvalbumin-Cre lines. Front Neural Circuits 7:168
Spatazza, Julien; Lee, Henry H C; Di Nardo, Ariel A et al. (2013) Choroid-plexus-derived Otx2 homeoprotein constrains adult cortical plasticity. Cell Rep 3:1815-23