Cargando…
Phenoclustering: online mining of cross-species phenotypes
Summary: Recently, several methods for analyzing phenotype data have been published, but only few are able to cope with data sets generated in different studies, with different methods, or for different species. We developed an online system in which more than 300 000 phenotypes from a wide variety...
Autores principales: | , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905556/ https://www.ncbi.nlm.nih.gov/pubmed/20562418 http://dx.doi.org/10.1093/bioinformatics/btq311 |
_version_ | 1782183973706792960 |
---|---|
author | Groth, Philip Kalev, Ivan Kirov, Ivaylo Traikov, Borislav Leser, Ulf Weiss, Bertram |
author_facet | Groth, Philip Kalev, Ivan Kirov, Ivaylo Traikov, Borislav Leser, Ulf Weiss, Bertram |
author_sort | Groth, Philip |
collection | PubMed |
description | Summary: Recently, several methods for analyzing phenotype data have been published, but only few are able to cope with data sets generated in different studies, with different methods, or for different species. We developed an online system in which more than 300 000 phenotypes from a wide variety of sources and screening methods can be analyzed together. Clusters of similar phenotypes are visualized as networks of highly similar phenotypes, inducing gene groups useful for functional analysis. This system is part of PhenomicDB, providing the world's largest cross-species phenotype data collection with a tool to mine its wealth of information. Availability: Freely available at http://www.phenomicdb.de Contact: bertram.weiss@bayerhealthcare.com Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Text |
id | pubmed-2905556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29055562010-07-19 Phenoclustering: online mining of cross-species phenotypes Groth, Philip Kalev, Ivan Kirov, Ivaylo Traikov, Borislav Leser, Ulf Weiss, Bertram Bioinformatics Applications Note Summary: Recently, several methods for analyzing phenotype data have been published, but only few are able to cope with data sets generated in different studies, with different methods, or for different species. We developed an online system in which more than 300 000 phenotypes from a wide variety of sources and screening methods can be analyzed together. Clusters of similar phenotypes are visualized as networks of highly similar phenotypes, inducing gene groups useful for functional analysis. This system is part of PhenomicDB, providing the world's largest cross-species phenotype data collection with a tool to mine its wealth of information. Availability: Freely available at http://www.phenomicdb.de Contact: bertram.weiss@bayerhealthcare.com Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2010-08-01 2010-06-18 /pmc/articles/PMC2905556/ /pubmed/20562418 http://dx.doi.org/10.1093/bioinformatics/btq311 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ 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 | Applications Note Groth, Philip Kalev, Ivan Kirov, Ivaylo Traikov, Borislav Leser, Ulf Weiss, Bertram Phenoclustering: online mining of cross-species phenotypes |
title | Phenoclustering: online mining of cross-species phenotypes |
title_full | Phenoclustering: online mining of cross-species phenotypes |
title_fullStr | Phenoclustering: online mining of cross-species phenotypes |
title_full_unstemmed | Phenoclustering: online mining of cross-species phenotypes |
title_short | Phenoclustering: online mining of cross-species phenotypes |
title_sort | phenoclustering: online mining of cross-species phenotypes |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905556/ https://www.ncbi.nlm.nih.gov/pubmed/20562418 http://dx.doi.org/10.1093/bioinformatics/btq311 |
work_keys_str_mv | AT grothphilip phenoclusteringonlineminingofcrossspeciesphenotypes AT kalevivan phenoclusteringonlineminingofcrossspeciesphenotypes AT kirovivaylo phenoclusteringonlineminingofcrossspeciesphenotypes AT traikovborislav phenoclusteringonlineminingofcrossspeciesphenotypes AT leserulf phenoclusteringonlineminingofcrossspeciesphenotypes AT weissbertram phenoclusteringonlineminingofcrossspeciesphenotypes |