Pheno-Pub: a total support system for the publication of mouse phenotypic data on the web

Pheno-Pub: a total support system for the publication of mouse phenotypic data on the web We have developed an open-source database system named “Pheno-Pub” to support a series of data-handling and publication tasks, including statistical analyses, data review, and web site construction, for mouse phenotyping experiments. This system is composed of three applications. “Mou-Stat” provides semiautomatic statistical analyses for a batch of phenotypic data, including a variety of conditions for group comparisons (e.g., different scales of measurement parameters). “Genotype Viewer” and “Strain Viewer” provide representation of genotype-driven and measurement parameter-driven views of phenotypic data; they highlight significant differences in genotypes and between strains, respectively. Direct links from the Strain Viewer web site to the Genotype Viewer web site provide flexible navigation in the exploration of phenotypic data. With these publication tools, phenotypic data can be made available on the Internet by simple operations. This system is expandable for a wide range of uses in phenotypic comparative analyses, including comparisons among different genotypes and strains and comparisons among groups exposed to different environmental conditions. Finally, Pheno-Pub provides advanced usability for both producers of experimental data and consumers of phenotypic information. Therefore, Pheno-Pub contributes significantly to the publication of data in various fields of phenotyping research and to broad data sharing, thereby promoting the understanding of the functions of the entire mouse genome. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Mammalian Genome Springer Journals

Pheno-Pub: a total support system for the publication of mouse phenotypic data on the web

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Publisher
Springer US
Copyright
Copyright © 2013 by Springer Science+Business Media New York
Subject
Life Sciences; Cell Biology; Anatomy; Zoology
ISSN
0938-8990
eISSN
1432-1777
D.O.I.
10.1007/s00335-013-9482-y
Publisher site
See Article on Publisher Site

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