Xenbase has become the single most important clearing-house of Xenopus data and our end goal is to disseminate this data to Xenopus investigators and the scientific community. This component describes our strategy to disseminate Xenopus data and to train the community how to most effectively use Xenbase. Finally, we describe out strategy to expand our data sharing infrastructure.
Our aims are:
Aim 1 Maintain and Optimize the Xenbase User Interface to Maximize Dissemination.
Aim 2 Promote Community Communications, Outreach and Training Aim 3 Enhance Data Sharing Infrastructure and Dissemination to Other Resources Aim 4 Make Xenopus genomes available and current

Public Health Relevance

As the Xenopus model organism database the effective dissemination of the Xenopus research data as broadly as possible is one of Xenbase's Primary goals. This Component describes our strategy to maximize data dissemination, enhance data sharing infrastructure and train the community on how to best utilize Xenabse.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Biotechnology Resource Grants (P41)
Project #
5P41HD064556-08
Application #
9380974
Study Section
Special Emphasis Panel (ZHD1)
Project Start
Project End
Budget Start
2017-12-01
Budget End
2018-11-30
Support Year
8
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Cincinnati Children's Hospital Medical Center
Department
Type
DUNS #
071284913
City
Cincinnati
State
OH
Country
United States
Zip Code
45229
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James-Zorn, Christina; Ponferrada, Virgilio; Fisher, Malcolm E et al. (2018) Navigating Xenbase: An Integrated Xenopus Genomics and Gene Expression Database. Methods Mol Biol 1757:251-305
Patrushev, Ilya; James-Zorn, Christina; Ciau-Uitz, Aldo et al. (2018) New methods for computational decomposition of whole-mount in situ images enable effective curation of a large, highly redundant collection of Xenopus images. PLoS Comput Biol 14:e1006077
Karimi, Kamran; Wuitchik, Daniel M; Oldach, Matthew J et al. (2018) Distinguishing Species Using GC Contents in Mixed DNA or RNA Sequences. Evol Bioinform Online 14:1176934318788866
Vize, Peter D; Zorn, Aaron M (2017) Xenopus genomic data and browser resources. Dev Biol 426:194-199
Session, Adam M; Uno, Yoshinobu; Kwon, Taejoon et al. (2016) Genome evolution in the allotetraploid frog Xenopus laevis. Nature 538:336-343
Deans, Andrew R; Lewis, Suzanna E; Huala, Eva et al. (2015) Finding our way through phenotypes. PLoS Biol 13:e1002033
Vize, Peter D; Liu, Yu; Karimi, Kamran (2015) Database and Informatic Challenges in Representing Both Diploid and Tetraploid Xenopus Species in Xenbase. Cytogenet Genome Res 145:278-82
Grant, Ian M; Balcha, Dawit; Hao, Tong et al. (2015) The Xenopus ORFeome: A resource that enables functional genomics. Dev Biol 408:345-57
James-Zorn, Christina; Ponferrada, Virgillio G; Burns, Kevin A et al. (2015) Xenbase: Core features, data acquisition, and data processing. Genesis 53:486-97

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