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R/qtl: high-throughput multiple QTL mapping
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| Zeitschriftentitel: | Bioinformatics |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Bioinformatics, 26, 2010, 23, S. 2990-2992 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Oxford University Press (OUP)
|
| Schlagwörter: |
| author_facet |
Arends, Danny Prins, Pjotr Jansen, Ritsert C. Broman, Karl W. Arends, Danny Prins, Pjotr Jansen, Ritsert C. Broman, Karl W. |
|---|---|
| author |
Arends, Danny Prins, Pjotr Jansen, Ritsert C. Broman, Karl W. |
| spellingShingle |
Arends, Danny Prins, Pjotr Jansen, Ritsert C. Broman, Karl W. Bioinformatics R/qtl: high-throughput multiple QTL mapping Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability |
| author_sort |
arends, danny |
| spelling |
Arends, Danny Prins, Pjotr Jansen, Ritsert C. Broman, Karl W. 1367-4811 1367-4803 Oxford University Press (OUP) Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability http://dx.doi.org/10.1093/bioinformatics/btq565 <jats:title>Abstract</jats:title> <jats:p>Motivation: 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.</jats:p> <jats:p>Availability: R/qtl is free and open source multi-platform software for the statistical language R, and is made available under the GPLv3 license. R/qtl can be installed from http://www.rqtl.org/. R/qtl queries should be directed at the mailing list, see http://www.rqtl.org/list/.</jats:p> <jats:p>Contact: kbroman@biostat.wisc.edu</jats:p> R/qtl: high-throughput multiple QTL mapping Bioinformatics |
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10.1093/bioinformatics/btq565 |
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| title |
R/qtl: high-throughput multiple QTL mapping |
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R/qtl: high-throughput multiple QTL mapping |
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R/qtl: high-throughput multiple QTL mapping |
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R/qtl: high-throughput multiple QTL mapping |
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R/qtl: high-throughput multiple QTL mapping |
| title_short |
R/qtl: high-throughput multiple QTL mapping |
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r/qtl: high-throughput multiple qtl mapping |
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Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability |
| url |
http://dx.doi.org/10.1093/bioinformatics/btq565 |
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2010 |
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2990-2992 |
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<jats:title>Abstract</jats:title>
<jats:p>Motivation: 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.</jats:p>
<jats:p>Availability: R/qtl is free and open source multi-platform software for the statistical language R, and is made available under the GPLv3 license. R/qtl can be installed from http://www.rqtl.org/. R/qtl queries should be directed at the mailing list, see http://www.rqtl.org/list/.</jats:p>
<jats:p>Contact: kbroman@biostat.wisc.edu</jats:p> |
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| author | Arends, Danny, Prins, Pjotr, Jansen, Ritsert C., Broman, Karl W. |
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| description | <jats:title>Abstract</jats:title> <jats:p>Motivation: 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.</jats:p> <jats:p>Availability: R/qtl is free and open source multi-platform software for the statistical language R, and is made available under the GPLv3 license. R/qtl can be installed from http://www.rqtl.org/. R/qtl queries should be directed at the mailing list, see http://www.rqtl.org/list/.</jats:p> <jats:p>Contact: kbroman@biostat.wisc.edu</jats:p> |
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| spelling | Arends, Danny Prins, Pjotr Jansen, Ritsert C. Broman, Karl W. 1367-4811 1367-4803 Oxford University Press (OUP) Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability http://dx.doi.org/10.1093/bioinformatics/btq565 <jats:title>Abstract</jats:title> <jats:p>Motivation: 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.</jats:p> <jats:p>Availability: R/qtl is free and open source multi-platform software for the statistical language R, and is made available under the GPLv3 license. R/qtl can be installed from http://www.rqtl.org/. R/qtl queries should be directed at the mailing list, see http://www.rqtl.org/list/.</jats:p> <jats:p>Contact: kbroman@biostat.wisc.edu</jats:p> R/qtl: high-throughput multiple QTL mapping Bioinformatics |
| spellingShingle | Arends, Danny, Prins, Pjotr, Jansen, Ritsert C., Broman, Karl W., Bioinformatics, R/qtl: high-throughput multiple QTL mapping, Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability |
| title | R/qtl: high-throughput multiple QTL mapping |
| title_full | R/qtl: high-throughput multiple QTL mapping |
| title_fullStr | R/qtl: high-throughput multiple QTL mapping |
| title_full_unstemmed | R/qtl: high-throughput multiple QTL mapping |
| title_short | R/qtl: high-throughput multiple QTL mapping |
| title_sort | r/qtl: high-throughput multiple qtl mapping |
| title_unstemmed | R/qtl: high-throughput multiple QTL mapping |
| topic | Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability |
| url | http://dx.doi.org/10.1093/bioinformatics/btq565 |