1. Welcome to the 2018 FaceBase Annual meeting at the University of Southern California
May 15-16, 2018

2. FaceBase 1 projects ( )
Oral Clefts: Moving from Genome-Wide Studies Toward Functional Genomics
Terri Beaty (Johns Hopkins University)
Research On Functional Genomics, Image Analysis and Rescue of Cleft Palate
Yang Chai (University of Southern California)
Identification of miRNAs Involved in Midfacial Development and Clefting
David Clouthier (University of Colorado), Kristin Artinger (University of Colorado), John Postlethwait (U. of Oregon)
Genetic Tools and Resources for Orofacial Clefting Research
Leah Rae Donahue and Stephen Murray (The Jackson Laboratories)
Functional Analysis of Neural Crest and Palate: Imaging Craniofacial Development
Scott Fraser (California Institute of Technology)
FaceBase Management and Coordination Hub
Jeffrey Murray (University of Iowa) and Mary Marazita (University of Pittsburgh)
Global Gene Expression Atlas of Craniofacial Development
Steven Potter (Children's Hospital Medical Center, Cincinnati)
Shape-Based Retrieval of 3D Craniofacial Data
Linda Shapiro (University of Washington)
Genetic Determinants of Orofacial Shape and Relationship to Cleft Lip/Palate
Richard Spritz (University of Colorado)
Genome-Wide Atlas of Craniofacial Transcriptional Enhancers
Axel Visel (University of California – Lawrence Berkeley National Laboratory)
3D Analysis of Facial Variation: Data Repository and Genetics
Seth Weinberg and Mary Marazita (University of Pittsburgh)

3. FaceBase 2 projects (2014-2019) FaceBase 2 Coordinating Center (Hub)
Carl Kesselman (University of Southern California)
The Ontology of Craniofacial Development and Malformation
James Brinkley (University of Washington)
Integrated Research of Functional Genomics and Craniofacial Morphogenesis
Yang Chai (University of Southern California)
Human Genomics Analysis Interface for FaceBase 2
Mary Marazita (University of Pittsburgh)
Genomic and Transgenic Resources for Craniofacial Enhancer Studies
Axel Visel (University of California/Lawrence Berkeley National Laboratory)
RNA Dynamics in the Developing Mouse Face
Trevor Williams, Joan Hooper, Kenneth Jones (University of Colorado)
Epigenetic Landscapes and Regulatory Divergence of Human Craniofacial Traits
Joanna Wysocka (Stanford), Licia Selleri (Weill Cornell Medicine)
Anatomical Atlas and Transgenic Toolkit for Late Skull Formation in Zebrafish
Shannon Fisher (Boston University), Matthew Harris (Boston Children’s Hospital)
Developing 3D Craniofacial Morphometry Data and Tools to Transform Dysmorphology
Richard Spritz (University of Colorado), Ophir Klein (University of California, San Francisco)
Rapid Identification and Validation of Human Craniofacial Development Genes
Richard Maas (Brigham and Women’s Hospital/Harvard)
Transcriptome Atlases of the Craniofacial Sutures
Ethylin Jabs, Gregory Holmes, Harm van Bakel (Icahn School of Medicine at Mount Sinai)

4. SLG Recommendations from our 2017 annual meeting
Community participation
Spoke projects interactions
Generating an atlas
Improving animation
Bioinformatic quality control and data standard
Standard terms used to annotate data
Metadata to enhance the longevity of FaceBase data
How to facilitate the citation of FaceBase data?

5. GUDMAP
GUDMAP
GUDMAP

6. LUNGMAP 2014-2019 www.lungmap.net

7. Discussion about FaceBase, GUDMAP, LungMAP consortia
Common and important issues to consider:
To develop/integrate multi-dimensional molecular anatomy atlas to facilitate discovery
How do we connect our data back to anatomy?
How do we combine imaging, gene expression, enhancer and other data to enable new insights?
2. To bring computer scientists and computational biologists to fill gaps in our data
How do we leverage advances in pattern recognition and machine learning?
3. To support discovery research: how do we improve the usage of animal models to gain a better understanding of human diseases

8. FaceBase 3.0: an NIDCR–funded resource for the craniofacial research community
Promotes multidisciplinary collaboration and research in craniofacial development, molecular genetics, and genomics
Works to integrate genomic and phenotype data from multiple species
Includes research on the developmental biology and genetics of a variety of craniofacial structures
Provides large datasets to members of the research community for use in their own projects
It must be a living document and serve as a portal where everyone wants to put their data for sharing