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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)D738-D743
JournalNucleic Acids Research
Issue numberD1
Publication statusPublished - 1 Jan 2013
Externally publishedYes


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