Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

SuperFly

General information

URL: http://superfly.crg.eu/
Full name:
Description: A relational database for quantified spatio-temporal expression data of segmentation genes during early development in different species of dipteran insects (flies,midges and mosquitoes).
Year founded: 2015
Last update: 2014
Version: v1.0
Accessibility:
Accessible
Country/Region: Spain

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Centre for Genomic Regulation
Address: 08003 Barcelona,Spain
City: Barcelona
Province/State:
Country/Region: Spain
Contact name (PI/Team): Johannes Jaeger
Contact email (PI/Helpdesk): yogi.jaeger@crg.eu

Publications

25404137
SuperFly: a comparative database for quantified spatio-temporal gene expression patterns in early dipteran embryos. [PMID: 25404137]
Cicin-Sain D, Pulido AH, Crombach A, Wotton KR, Jiménez-Guri E, Taly JF, Roma G, Jaeger J.

We present SuperFly (http://superfly.crg.eu), a relational database for quantified spatio-temporal expression data of segmentation genes during early development in different species of dipteran insects (flies, midges and mosquitoes). SuperFly has a special focus on emerging non-drosophilid model systems. The database currently includes data of high spatio-temporal resolution for three species: the vinegar fly Drosophila melanogaster, the scuttle fly Megaselia abdita and the moth midge Clogmia albipunctata. At this point, SuperFly covers up to 9 genes and 16 time points per species, with a total of 1823 individual embryos. It provides an intuitive web interface, enabling the user to query and access original embryo images, quantified expression profiles, extracted positions of expression boundaries and integrated datasets, plus metadata and intermediate processing steps. SuperFly is a valuable new resource for the quantitative comparative study of gene expression patterns across dipteran species. Moreover, it provides an interesting test set for systems biologists interested in fitting mathematical gene network models to data. Both of these aspects are essential ingredients for progress toward a more quantitative and mechanistic understanding of developmental evolution. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2015:43(Database issue) | 13 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
4932/6895 (28.484%)
Expression:
1007/1347 (25.316%)
4932
Total Rank
12
Citations
1.2
z-index

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Record metadata

Created on: 2015-06-20
Curated by:
Lin Xia [2016-03-28]
Mengwei Li [2016-02-18]
Lin Xia [2015-06-26]