Publikation:

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

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551.pdf
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Datum

2010

Autor:innen

Galizia, C. Giovanni
Münch, Daniel
Strauch, Martin
Nissler, Anja
Ma, Shouwen

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http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-121776
DOI (zitierfähiger Link)
https://doi.org/10.1093/chemse/bjq042
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Open Access-Veröffentlichung
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Biologie: Publikationen
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Published

Erschienen in

Chemical Senses. 2010, 35(7), pp. 551-563. ISSN 0379-864X. eISSN 1464-3553. Available under: doi: 10.1093/chemse/bjq042

Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

computational model, Drosophila melanogaster, metadatabase, odor responses, olfactory receptor, response profiles

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ISO 690GALIZIA, C. Giovanni, Daniel MÜNCH, Martin STRAUCH, Anja NISSLER, Shouwen MA, 2010. Integrating Heterogeneous Odor Response Data into a Common Response Model : A DoOR to the Complete Olfactome. In: Chemical Senses. 2010, 35(7), pp. 551-563. ISSN 0379-864X. eISSN 1464-3553. Available under: doi: 10.1093/chemse/bjq042
BibTex
@article{Galizia2010Integ-7409,
  year={2010},
  doi={10.1093/chemse/bjq042},
  title={Integrating Heterogeneous Odor Response Data into a Common Response Model : A DoOR to the Complete Olfactome},
  number={7},
  volume={35},
  issn={0379-864X},
  journal={Chemical Senses},
  pages={551--563},
  author={Galizia, C. Giovanni and Münch, Daniel and Strauch, Martin and Nissler, Anja and Ma, Shouwen}
}
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