WormQTL-public archive and analysis web portal for natural variation data in Caenorhabditis spp

L. Basten Snoek; K. Joeri Van Der Velde; Danny Arends; Yang Li; Antje Beyer; Mark Elvin; Jasmin Fisher; Alex Hajnal; Michael O. Hengartner; Gino B. Poulin; Miriam Rodriguez; Tobias Schmid; Sabine Schrimpf; Feng Xue; Ritsert C. Jansen; Jan E. Kammenga; Morris A. Swertz

doi:10.1093/nar/gks1124

WormQTL-public archive and analysis web portal for natural variation data in Caenorhabditis spp

L. Basten Snoek, K. Joeri Van Der Velde, Danny Arends, Yang Li, Antje Beyer, Mark Elvin, Jasmin Fisher, Alex Hajnal, Michael O. Hengartner, Gino B. Poulin, Miriam Rodriguez, Tobias Schmid, Sabine Schrimpf, Feng Xue, Ritsert C. Jansen, Jan E. Kammenga, Morris A. Swertz

Research output: Contribution to journal › Article › peer-review

Abstract

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 pheno-typic, 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 bioinfor-maticians, based on open source MOLGENIS and xQTL workbench software. WormQTL welcomes data submissions from other worm researchers. © The Author(s) 2012.

Original language	English
Pages (from-to)	D738-D743
Journal	Nucleic acids research.
Volume	41
Issue number	1
DOIs	https://doi.org/10.1093/nar/gks1124
Publication status	Published - 1 Jan 2013

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Snoek, L. B., Van Der Velde, K. J., Arends, D., Li, Y., Beyer, A., Elvin, M., Fisher, J., Hajnal, A., Hengartner, M. O., Poulin, G. B., Rodriguez, M., Schmid, T., Schrimpf, S., Xue, F., Jansen, R. C., Kammenga, J. E., & Swertz, M. A. (2013). WormQTL-public archive and analysis web portal for natural variation data in Caenorhabditis spp. Nucleic acids research., 41(1), D738-D743. https://doi.org/10.1093/nar/gks1124

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title = "WormQTL-public archive and analysis web portal for natural variation data in Caenorhabditis spp",

abstract = "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 pheno-typic, 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 bioinfor-maticians, based on open source MOLGENIS and xQTL workbench software. WormQTL welcomes data submissions from other worm researchers. {\textcopyright} The Author(s) 2012.",

author = "Snoek, {L. Basten} and {Van Der Velde}, {K. Joeri} and Danny Arends and Yang Li and Antje Beyer and Mark Elvin and Jasmin Fisher and Alex Hajnal and Hengartner, {Michael O.} and Poulin, {Gino B.} and Miriam Rodriguez and Tobias Schmid and Sabine Schrimpf and Feng Xue and Jansen, {Ritsert C.} and Kammenga, {Jan E.} and Swertz, {Morris A.}",

year = "2013",

month = jan,

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doi = "10.1093/nar/gks1124",

language = "English",

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Snoek, LB, Van Der Velde, KJ, Arends, D, Li, Y, Beyer, A, Elvin, M, Fisher, J, Hajnal, A, Hengartner, MO, Poulin, GB, Rodriguez, M, Schmid, T, Schrimpf, S, Xue, F, Jansen, RC, Kammenga, JE & Swertz, MA 2013, 'WormQTL-public archive and analysis web portal for natural variation data in Caenorhabditis spp', Nucleic acids research., vol. 41, no. 1, pp. D738-D743. https://doi.org/10.1093/nar/gks1124

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AU - Snoek, L. Basten

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AU - Li, Yang

AU - Beyer, Antje

AU - Elvin, Mark

AU - Fisher, Jasmin

AU - Hajnal, Alex

AU - Hengartner, Michael O.

AU - Poulin, Gino B.

AU - Rodriguez, Miriam

AU - Schmid, Tobias

AU - Schrimpf, Sabine

AU - Xue, Feng

AU - Jansen, Ritsert C.

AU - Kammenga, Jan E.

AU - Swertz, Morris A.

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AB - 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 pheno-typic, 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 bioinfor-maticians, based on open source MOLGENIS and xQTL workbench software. WormQTL welcomes data submissions from other worm researchers. © The Author(s) 2012.

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DO - 10.1093/nar/gks1124

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SN - 1362-4962

VL - 41

SP - D738-D743

JO - Nucleic acids research.

JF - Nucleic acids research.

IS - 1

ER -

WormQTL-public archive and analysis web portal for natural variation data in Caenorhabditis spp

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