| Literature DB >> 32958507 |
Bridget D Samuels1, Robert Aho2, James F Brinkley3, Alejandro Bugacov4, Eleanor Feingold5, Shannon Fisher6, Ana S Gonzalez-Reiche7, Joseph G Hacia8, Benedikt Hallgrimsson9, Karissa Hansen2, Matthew P Harris10, Thach-Vu Ho1, Greg Holmes7, Joan E Hooper11, Ethylin Wang Jabs7, Kenneth L Jones12, Carl Kesselman4, Ophir D Klein13, Elizabeth J Leslie14, Hong Li15, Eric C Liao16, Hannah Long17, Na Lu7, Richard L Maas18, Mary L Marazita5,19,20, Jaaved Mohammed17, Sara Prescott17, Robert Schuler4, Licia Selleri2, Richard A Spritz21, Tomek Swigut17, Harm van Bakel7, Axel Visel22,23,24, Ian Welsh2, Cristina Williams4, Trevor J Williams15, Joanna Wysocka17, Yuan Yuan1, Yang Chai25.
Abstract
The FaceBase Consortium was established by the National Institute of Dental and Craniofacial Research in 2009 as a 'big data' resource for the craniofacial research community. Over the past decade, researchers have deposited hundreds of annotated and curated datasets on both normal and disordered craniofacial development in FaceBase, all freely available to the research community on the FaceBase Hub website. The Hub has developed numerous visualization and analysis tools designed to promote integration of multidisciplinary data while remaining dedicated to the FAIR principles of data management (findability, accessibility, interoperability and reusability) and providing a faceted search infrastructure for locating desired data efficiently. Summaries of the datasets generated by the FaceBase projects from 2014 to 2019 are provided here. FaceBase 3 now welcomes contributions of data on craniofacial and dental development in humans, model organisms and cell lines. Collectively, the FaceBase Consortium, along with other NIH-supported data resources, provide a continuously growing, dynamic and current resource for the scientific community while improving data reproducibility and fulfilling data sharing requirements.Entities:
Keywords: Craniofacial development; Data resource; FaceBase Consortium; Human; Mouse; Zebrafish
Mesh:
Year: 2020 PMID: 32958507 PMCID: PMC7522026 DOI: 10.1242/dev.191213
Source DB: PubMed Journal: Development ISSN: 0950-1991 Impact factor: 6.868