@article{brinkley_facebase_2016,
	title = {The {FaceBase} {Consortium}: a comprehensive resource for craniofacial researchers.},
	volume = {143},
	doi = {10.1242/dev.135434},
	abstract = {The FaceBase Consortium, funded by the National Institute of Dental and Craniofacial Research, National Institutes of Health, is designed to accelerate understanding of craniofacial developmental biology by generating comprehensive data resources to empower the research community, exploring high-throughput technology, fostering new scientific collaborations among researchers and human/computer interactions, facilitating hypothesis-driven research and translating science into improved health care to benefit patients. The resources generated by the FaceBase projects include a number of dynamic imaging modalities, genome-wide association studies, software tools for analyzing human facial abnormalities, detailed phenotyping, anatomical and molecular atlases, global and specific gene expression patterns, and transcriptional profiling over the course of embryonic and postnatal development in animal models and humans. The integrated data visualization tools, faceted search infrastructure, and curation provided by the FaceBase Hub offer flexible and intuitive ways to interact with these multidisciplinary data. In parallel, the datasets also offer unique opportunities for new collaborations and training for researchers coming into the field of craniofacial studies. Here, we highlight the focus of each spoke project and the integration of datasets contributed by the spokes to facilitate craniofacial research.},
	number = {14},
	journal = {Development},
	author = {Brinkley, JF and Fisher, S and Harris, MP and Holmes, G and Hooper, JE and Jabs, EW and Jones, KL and Kesselman, C and Klein, OD and Maas, RL and Marazita, ML and Selleri, L and Spritz, RA and van Bakel, H and Visel, A and Williams, TJ and Wysocka, J and FaceBase Consortium and Chai, Y},
	month = jul,
	year = {2016},
	pages = {2677--88},
}

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The resources generated by the FaceBase projects include a number of dynamic imaging modalities, genome-wide association studies, software tools for analyzing human facial abnormalities, detailed phenotyping, anatomical and molecular atlases, global and specific gene expression patterns, and transcriptional profiling over the course of embryonic and postnatal development in animal models and humans. The integrated data visualization tools, faceted search infrastructure, and curation provided by the FaceBase Hub offer flexible and intuitive ways to interact with these multidisciplinary data. In parallel, the datasets also offer unique opportunities for new collaborations and training for researchers coming into the field of craniofacial studies. 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