R/qtl: QTL mapping in experimental crosses (original) (raw)

Journal Article

,

Search for other works by this author on:

,

Search for other works by this author on:

,

Search for other works by this author on:

Search for other works by this author on:

Received:

11 October 2002

Revision received:

13 December 2002

Accepted:

20 December 2002

Cite

Karl W. Broman, Hao Wu, Śaunak Sen, Gary A. Churchill, R/qtl: QTL mapping in experimental crosses, Bioinformatics, Volume 19, Issue 7, May 2003, Pages 889–890, https://doi.org/10.1093/bioinformatics/btg112
Close

Navbar Search Filter Mobile Enter search term Search

Abstract

Summary: R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental populations derived from inbred lines. It is implemented as an add-on package for the freely-available statistical software, R, and includes functions for estimating genetic maps, identifying genotyping errors, and performing single-QTL and two-dimensional, two-QTL genome scans by multiple methods, with the possible inclusion of covariates.

Availability: The package is freely available at http://www.biostat.jhsph.edu/~kbroman/qtl.

Contact: kbroman@jhsph.edu

*

To whom correspondence should be addressed.

Present address: Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94143, USA.

This content is only available as a PDF.

© Oxford University Press 2003

Citations

Views

Altmetric

Metrics

Total Views 11,350

3,546 Pageviews

7,804 PDF Downloads

Since 11/1/2016

Month: Total Views:
November 2016 10
December 2016 18
January 2017 52
February 2017 83
March 2017 99
April 2017 75
May 2017 114
June 2017 81
July 2017 60
August 2017 88
September 2017 65
October 2017 99
November 2017 108
December 2017 514
January 2018 726
February 2018 844
March 2018 523
April 2018 591
May 2018 73
June 2018 52
July 2018 68
August 2018 45
September 2018 62
October 2018 64
November 2018 89
December 2018 83
January 2019 61
February 2019 84
March 2019 115
April 2019 103
May 2019 113
June 2019 101
July 2019 115
August 2019 106
September 2019 92
October 2019 96
November 2019 96
December 2019 96
January 2020 116
February 2020 118
March 2020 94
April 2020 124
May 2020 52
June 2020 87
July 2020 83
August 2020 83
September 2020 91
October 2020 95
November 2020 97
December 2020 108
January 2021 68
February 2021 78
March 2021 95
April 2021 101
May 2021 81
June 2021 109
July 2021 88
August 2021 92
September 2021 97
October 2021 110
November 2021 104
December 2021 117
January 2022 125
February 2022 111
March 2022 137
April 2022 110
May 2022 109
June 2022 79
July 2022 96
August 2022 84
September 2022 89
October 2022 95
November 2022 111
December 2022 77
January 2023 98
February 2023 111
March 2023 123
April 2023 88
May 2023 113
June 2023 125
July 2023 79
August 2023 69
September 2023 113
October 2023 81
November 2023 99
December 2023 87
January 2024 104
February 2024 76
March 2024 97
April 2024 78
May 2024 93
June 2024 65
July 2024 67
August 2024 78
September 2024 84
October 2024 47

×

Email alerts

Citing articles via

More from Oxford Academic