R/qtl: high-throughput multiple QTL mapping

Danny Arends; Pjotr Prins; Ritsert C. Jansen; Karl W. Broman

doi:10.1093/bioinformatics/btq565

R/qtl: high-throughput multiple QTL mapping

Danny Arends, Pjotr Prins, Ritsert C. Jansen, Karl W. Broman^*

^*Corresponding author voor dit werk

Groningen Biomolecular Sciences and Biotechn.Inst.

Onderzoeksoutput › Academic › peer review

291 Citaten (Scopus)

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R/qtl is free and powerful software for mapping and exploring quantitative trait loci (QTL). R/qtl provides a fully comprehensive range of methods for a wide range of experimental cross types. We recently added multiple QTL mapping (MQM) to R/qtl. MQM adds higher statistical power to detect and disentangle the effects of multiple linked and unlinked QTL compared with many other methods. MQM for R/qtl adds many new features including improved handling of missing data, analysis of 10 000 s of molecular traits, permutation for determining significance thresholds for QTL and QTL hot spots, and visualizations for cis-trans and QTL interaction effects. MQM for R/qtl is the first free and open source implementation of MQM that is multi-platform, scalable and suitable for automated procedures and large genetical genomics datasets.

Originele taal-2	English
Pagina's (van-tot)	2990-2992
Aantal pagina's	3
Tijdschrift	Bioinformatics
Volume	26
Nummer van het tijdschrift	23
DOI's	https://doi.org/10.1093/bioinformatics/btq565
Status	Published - dec.-2010

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abstract = "R/qtl is free and powerful software for mapping and exploring quantitative trait loci (QTL). R/qtl provides a fully comprehensive range of methods for a wide range of experimental cross types. We recently added multiple QTL mapping (MQM) to R/qtl. MQM adds higher statistical power to detect and disentangle the effects of multiple linked and unlinked QTL compared with many other methods. MQM for R/qtl adds many new features including improved handling of missing data, analysis of 10 000 s of molecular traits, permutation for determining significance thresholds for QTL and QTL hot spots, and visualizations for cis-trans and QTL interaction effects. MQM for R/qtl is the first free and open source implementation of MQM that is multi-platform, scalable and suitable for automated procedures and large genetical genomics datasets.",

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author = "Danny Arends and Pjotr Prins and Jansen, {Ritsert C.} and Broman, {Karl W.}",

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AU - Arends, Danny

AU - Prins, Pjotr

AU - Jansen, Ritsert C.

AU - Broman, Karl W.

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R/qtl: high-throughput multiple QTL mapping

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