Journal article

Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome


Authors listGalizia, C. Giovanni; Münch, Daniel; Strauch, Martin; Nissler, Anja; Ma, Shouwen

Publication year2010

Pages551-563

JournalChemical Senses

Volume number35

Issue number7

ISSN0379-864X

eISSN1464-3553

DOI Linkhttps://doi.org/10.1093/chemse/bjq042

PublisherOxford University Press


Abstract
We have developed a new computational framework for merging odor response data sets from heterogeneous studies, creating a consensus metadatabase, the database of odor responses (DoOR). As a result, we obtained a functional atlas of all available odor responses in Drosophila melanogaster. Both the program and the data set are freely accessible and downloadable on the Internet (http://neuro.uni-konstanz.de/DoOR). The procedure can be adapted to other species, thus creating a family of "olfactomes" in the near future. Drosophila melanogaster was chosen because of all species this one is closest to having the complete olfactome characterized, with the highest number of deorphanized receptors available. The database guarantees long-term stability (by offering time-stamped, downloadable versions), up-to-date accuracy (by including new data sets as soon as they are published), and portability (for other species). We hope that this comprehensive repository of odor response profiles will be useful to the olfactory community and to computational neuroscientists alike.



Authors/Editors




Citation Styles

Harvard Citation styleGalizia, C., Münch, D., Strauch, M., Nissler, A. and Ma, S. (2010) Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome, Chemical Senses, 35(7), pp. 551-563. https://doi.org/10.1093/chemse/bjq042

APA Citation styleGalizia, C., Münch, D., Strauch, M., Nissler, A., & Ma, S. (2010). Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome. Chemical Senses. 35(7), 551-563. https://doi.org/10.1093/chemse/bjq042


Last updated on 2025-18-06 at 10:32