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Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome
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 p...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2924422/ https://www.ncbi.nlm.nih.gov/pubmed/20530377 http://dx.doi.org/10.1093/chemse/bjq042 |
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author | Galizia, C. Giovanni Münch, Daniel Strauch, Martin Nissler, Anja Ma, Shouwen |
author_facet | Galizia, C. Giovanni Münch, Daniel Strauch, Martin Nissler, Anja Ma, Shouwen |
author_sort | Galizia, C. Giovanni |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2924422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29244222010-08-30 Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome Galizia, C. Giovanni Münch, Daniel Strauch, Martin Nissler, Anja Ma, Shouwen Chem Senses Research Articles 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. Oxford University Press 2010-09 2010-06-07 /pmc/articles/PMC2924422/ /pubmed/20530377 http://dx.doi.org/10.1093/chemse/bjq042 Text en © The Author 2010. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Galizia, C. Giovanni Münch, Daniel Strauch, Martin Nissler, Anja Ma, Shouwen Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome |
title | Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome |
title_full | Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome |
title_fullStr | Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome |
title_full_unstemmed | Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome |
title_short | Integrating Heterogeneous Odor Response Data into a Common Response Model: A DoOR to the Complete Olfactome |
title_sort | integrating heterogeneous odor response data into a common response model: a door to the complete olfactome |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2924422/ https://www.ncbi.nlm.nih.gov/pubmed/20530377 http://dx.doi.org/10.1093/chemse/bjq042 |
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