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WormQTL—public archive and analysis web portal for natural variation data in Caenorhabditis spp
Here, we present WormQTL (http://www.wormqtl.org), an easily accessible database enabling search, comparative analysis and meta-analysis of all data on variation in Caenorhabditis spp. Over the past decade, Caenorhabditis elegans has become instrumental for molecular quantitative genetics and the sy...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531126/ https://www.ncbi.nlm.nih.gov/pubmed/23180786 http://dx.doi.org/10.1093/nar/gks1124 |
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author | Snoek, L. Basten Van der Velde, K. Joeri Arends, Danny Li, Yang Beyer, Antje Elvin, Mark Fisher, Jasmin Hajnal, Alex Hengartner, Michael O. Poulin, Gino B. Rodriguez, Miriam Schmid, Tobias Schrimpf, Sabine Xue, Feng Jansen, Ritsert C. Kammenga, Jan E. Swertz, Morris A. |
author_facet | Snoek, L. Basten Van der Velde, K. Joeri Arends, Danny Li, Yang Beyer, Antje Elvin, Mark Fisher, Jasmin Hajnal, Alex Hengartner, Michael O. Poulin, Gino B. Rodriguez, Miriam Schmid, Tobias Schrimpf, Sabine Xue, Feng Jansen, Ritsert C. Kammenga, Jan E. Swertz, Morris A. |
author_sort | Snoek, L. Basten |
collection | PubMed |
description | Here, we present WormQTL (http://www.wormqtl.org), an easily accessible database enabling search, comparative analysis and meta-analysis of all data on variation in Caenorhabditis spp. Over the past decade, Caenorhabditis elegans has become instrumental for molecular quantitative genetics and the systems biology of natural variation. These efforts have resulted in a valuable amount of phenotypic, high-throughput molecular and genotypic data across different developmental worm stages and environments in hundreds of C. elegans strains. WormQTL provides a workbench of analysis tools for genotype–phenotype linkage and association mapping based on but not limited to R/qtl (http://www.rqtl.org). All data can be uploaded and downloaded using simple delimited text or Excel formats and are accessible via a public web user interface for biologists and R statistic and web service interfaces for bioinformaticians, based on open source MOLGENIS and xQTL workbench software. WormQTL welcomes data submissions from other worm researchers. |
format | Online Article Text |
id | pubmed-3531126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35311262013-03-07 WormQTL—public archive and analysis web portal for natural variation data in Caenorhabditis spp Snoek, L. Basten Van der Velde, K. Joeri Arends, Danny Li, Yang Beyer, Antje Elvin, Mark Fisher, Jasmin Hajnal, Alex Hengartner, Michael O. Poulin, Gino B. Rodriguez, Miriam Schmid, Tobias Schrimpf, Sabine Xue, Feng Jansen, Ritsert C. Kammenga, Jan E. Swertz, Morris A. Nucleic Acids Res Articles Here, we present WormQTL (http://www.wormqtl.org), an easily accessible database enabling search, comparative analysis and meta-analysis of all data on variation in Caenorhabditis spp. Over the past decade, Caenorhabditis elegans has become instrumental for molecular quantitative genetics and the systems biology of natural variation. These efforts have resulted in a valuable amount of phenotypic, high-throughput molecular and genotypic data across different developmental worm stages and environments in hundreds of C. elegans strains. WormQTL provides a workbench of analysis tools for genotype–phenotype linkage and association mapping based on but not limited to R/qtl (http://www.rqtl.org). All data can be uploaded and downloaded using simple delimited text or Excel formats and are accessible via a public web user interface for biologists and R statistic and web service interfaces for bioinformaticians, based on open source MOLGENIS and xQTL workbench software. WormQTL welcomes data submissions from other worm researchers. Oxford University Press 2013-01 2012-11-23 /pmc/articles/PMC3531126/ /pubmed/23180786 http://dx.doi.org/10.1093/nar/gks1124 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Articles Snoek, L. Basten Van der Velde, K. Joeri Arends, Danny Li, Yang Beyer, Antje Elvin, Mark Fisher, Jasmin Hajnal, Alex Hengartner, Michael O. Poulin, Gino B. Rodriguez, Miriam Schmid, Tobias Schrimpf, Sabine Xue, Feng Jansen, Ritsert C. Kammenga, Jan E. Swertz, Morris A. WormQTL—public archive and analysis web portal for natural variation data in Caenorhabditis spp |
title | WormQTL—public archive and analysis web portal for natural variation data in Caenorhabditis spp |
title_full | WormQTL—public archive and analysis web portal for natural variation data in Caenorhabditis spp |
title_fullStr | WormQTL—public archive and analysis web portal for natural variation data in Caenorhabditis spp |
title_full_unstemmed | WormQTL—public archive and analysis web portal for natural variation data in Caenorhabditis spp |
title_short | WormQTL—public archive and analysis web portal for natural variation data in Caenorhabditis spp |
title_sort | wormqtl—public archive and analysis web portal for natural variation data in caenorhabditis spp |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531126/ https://www.ncbi.nlm.nih.gov/pubmed/23180786 http://dx.doi.org/10.1093/nar/gks1124 |
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