Xenbase is a very complex computing environment consisting of multiple separate databases, many different software applications, the user and curator web interfaces and many automated data exchange pipelines - all of which are integrated by a middle layer of complex custom code. Keeping all of these systems working seamlessly and efficiently requires constant monitoring, testing, maintenance, bug fixing and upgrading. Each time new software is implemented it must be extensively tested and optimized so that it is properly integrated with existing systems. The goal of the Computing Component is keep Xenbase operational, reliable, and responsive, to maintain and upgrade the hardware, infrastructure, software and systems necessary for peak performance and to support the proposed improvements described in other sections of this application.

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 #
9380973
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
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
Karimi, Kamran; Fortriede, Joshua D; Lotay, Vaneet S et al. (2018) Xenbase: a genomic, epigenomic and transcriptomic model organism database. Nucleic Acids Res 46:D861-D868
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
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

Showing the most recent 10 out of 22 publications