Result for 07710EA04622F85DC7E1690ECDDAE423029B1CF6

Query result

Key Value
FileName./usr/share/doc/r-cran-qtl/examples/bin/test/regression/t33out.txt.gz
FileSize20215
MD54EC0843074B8C254C52FF7D0A5DB4DD0
SHA-107710EA04622F85DC7E1690ECDDAE423029B1CF6
SHA-256B434DBF0E94369F9144FE46CE82D4E38E70D470E7ADB534DA5426F3F4DB35787
SSDEEP384:vB9DbzLPcjQ6HrYhe5PUh3OHm9OE222SrlIC3Ny222222222222V6:vBdkjQidPUhLUnC3/
TLSHT1CF926C2BB88DC0CF50B6A361901D363B9B21900D5F45689EEDB1AD280F3EE58CD3D696
hashlookup:parent-total6
hashlookup:trust80

Network graph view

Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize4373600
MD5AAD5E7859864B792FC436201F089A557
PackageDescriptionGNU R package for genetic marker linkage analysis R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental crosses. It is implemented as an add-on-package for the freely available and widely used statistical language/software R (see http://www.r-project.org). . The development of this software as an add-on to R allows one to take advantage of the basic mathematical and statistical functions, and powerful graphics capabilities, that are provided with R. Further, the user will benefit by the seamless integration of the QTL mapping software into a general statistical analysis program. The goal is to make complex QTL mapping methods widely accessible and allow users to focus on modeling rather than computing. . A key component of computational methods for QTL mapping is the hidden Markov model (HMM) technology for dealing with missing genotype data. The main HMM algorithms, with allowance for the presence of genotyping errors, for backcrosses, intercrosses, and phase-known four-way crosses were implemented. . The current version of R/qtl includes facilities for estimating genetic maps, identifying genotyping errors, and performing single-QTL genome scans and two-QTL, two-dimensional genome scans, by interval mapping (with the EM algorithm), Haley-Knott regression, and multiple imputation. All of this may be done in the presence of covariates (such as sex, age or treatment). One may also fit higher-order QTL models by multiple imputation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamer-cran-qtl
PackageSectiongnu-r
PackageVersion1.33-7-1
SHA-18B1258639058D540ABF81A1F970F350FC2D94958
SHA-25626C98362FB1C372105BC3E513EBBAB664572423EF8D7385D3951C417B1EA1CFF
Key Value
FileSize4383888
MD57570CA289B425FFBB2A6CAA8DADA00D2
PackageDescriptionGNU R package for genetic marker linkage analysis R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental crosses. It is implemented as an add-on-package for the freely available and widely used statistical language/software R (see http://www.r-project.org). . The development of this software as an add-on to R allows one to take advantage of the basic mathematical and statistical functions, and powerful graphics capabilities, that are provided with R. Further, the user will benefit by the seamless integration of the QTL mapping software into a general statistical analysis program. The goal is to make complex QTL mapping methods widely accessible and allow users to focus on modeling rather than computing. . A key component of computational methods for QTL mapping is the hidden Markov model (HMM) technology for dealing with missing genotype data. The main HMM algorithms, with allowance for the presence of genotyping errors, for backcrosses, intercrosses, and phase-known four-way crosses were implemented. . The current version of R/qtl includes facilities for estimating genetic maps, identifying genotyping errors, and performing single-QTL genome scans and two-QTL, two-dimensional genome scans, by interval mapping (with the EM algorithm), Haley-Knott regression, and multiple imputation. All of this may be done in the presence of covariates (such as sex, age or treatment). One may also fit higher-order QTL models by multiple imputation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamer-cran-qtl
PackageSectiongnu-r
PackageVersion1.33-7-1
SHA-15229C87058A483B0EBCACBE45B6C7F2876E09CBC
SHA-25624AF65F308F7D912DA6974A3D3F004634376C8E9635C2D9AC89D514711326FCC
Key Value
FileSize5022684
MD5994F37C529B630C00FF8CE7C540C28B5
PackageDescriptionGNU R package for genetic marker linkage analysis R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental crosses. It is implemented as an add-on-package for the freely available and widely used statistical language/software R (see http://www.r-project.org). . The development of this software as an add-on to R allows one to take advantage of the basic mathematical and statistical functions, and powerful graphics capabilities, that are provided with R. Further, the user will benefit by the seamless integration of the QTL mapping software into a general statistical analysis program. The goal is to make complex QTL mapping methods widely accessible and allow users to focus on modeling rather than computing. . A key component of computational methods for QTL mapping is the hidden Markov model (HMM) technology for dealing with missing genotype data. The main HMM algorithms, with allowance for the presence of genotyping errors, for backcrosses, intercrosses, and phase-known four-way crosses were implemented. . The current version of R/qtl includes facilities for estimating genetic maps, identifying genotyping errors, and performing single-QTL genome scans and two-QTL, two-dimensional genome scans, by interval mapping (with the EM algorithm), Haley-Knott regression, and multiple imputation. All of this may be done in the presence of covariates (such as sex, age or treatment). One may also fit higher-order QTL models by multiple imputation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-qtl
PackageSectiongnu-r
PackageVersion1.37-11-1
SHA-10765EF32CCED8DFFBE9D15F85B426C96ACC089CF
SHA-25656C37B4EE4F9A10B11445CCD5433525A616C972DEC9552E2E31A1AB067B3D457
Key Value
FileSize4405702
MD53C6667FEE36B0F2C7226A80597A694BF
PackageDescriptionGNU R package for genetic marker linkage analysis R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental crosses. It is implemented as an add-on-package for the freely available and widely used statistical language/software R (see http://www.r-project.org). . The development of this software as an add-on to R allows one to take advantage of the basic mathematical and statistical functions, and powerful graphics capabilities, that are provided with R. Further, the user will benefit by the seamless integration of the QTL mapping software into a general statistical analysis program. The goal is to make complex QTL mapping methods widely accessible and allow users to focus on modeling rather than computing. . A key component of computational methods for QTL mapping is the hidden Markov model (HMM) technology for dealing with missing genotype data. The main HMM algorithms, with allowance for the presence of genotyping errors, for backcrosses, intercrosses, and phase-known four-way crosses were implemented. . The current version of R/qtl includes facilities for estimating genetic maps, identifying genotyping errors, and performing single-QTL genome scans and two-QTL, two-dimensional genome scans, by interval mapping (with the EM algorithm), Haley-Knott regression, and multiple imputation. All of this may be done in the presence of covariates (such as sex, age or treatment). One may also fit higher-order QTL models by multiple imputation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamer-cran-qtl
PackageSectiongnu-r
PackageVersion1.33-7-1
SHA-162FF66C97A353F30F257B3CBBB92E42FCCBFBF03
SHA-25615BAD853DB86332CD7B79EA1F517B5AF5FD53EF8226896BEA91640797C3CA720
Key Value
FileSize5022486
MD539EE8384121F9B92017413545BB75057
PackageDescriptionGNU R package for genetic marker linkage analysis R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental crosses. It is implemented as an add-on-package for the freely available and widely used statistical language/software R (see http://www.r-project.org). . The development of this software as an add-on to R allows one to take advantage of the basic mathematical and statistical functions, and powerful graphics capabilities, that are provided with R. Further, the user will benefit by the seamless integration of the QTL mapping software into a general statistical analysis program. The goal is to make complex QTL mapping methods widely accessible and allow users to focus on modeling rather than computing. . A key component of computational methods for QTL mapping is the hidden Markov model (HMM) technology for dealing with missing genotype data. The main HMM algorithms, with allowance for the presence of genotyping errors, for backcrosses, intercrosses, and phase-known four-way crosses were implemented. . The current version of R/qtl includes facilities for estimating genetic maps, identifying genotyping errors, and performing single-QTL genome scans and two-QTL, two-dimensional genome scans, by interval mapping (with the EM algorithm), Haley-Knott regression, and multiple imputation. All of this may be done in the presence of covariates (such as sex, age or treatment). One may also fit higher-order QTL models by multiple imputation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-qtl
PackageSectiongnu-r
PackageVersion1.37-11-1
SHA-17406E4D5A17C1F06FE9D44EA3752F48A64AA0D1C
SHA-256D8D780F0FC201FAB7B7EBD04ACB064A504DC0134F3190AF7310CBBC6598081EE
Key Value
FileSize4397928
MD5A090DC2BBA8EEE266D465D3504137EB1
PackageDescriptionGNU R package for genetic marker linkage analysis R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental crosses. It is implemented as an add-on-package for the freely available and widely used statistical language/software R (see http://www.r-project.org). . The development of this software as an add-on to R allows one to take advantage of the basic mathematical and statistical functions, and powerful graphics capabilities, that are provided with R. Further, the user will benefit by the seamless integration of the QTL mapping software into a general statistical analysis program. The goal is to make complex QTL mapping methods widely accessible and allow users to focus on modeling rather than computing. . A key component of computational methods for QTL mapping is the hidden Markov model (HMM) technology for dealing with missing genotype data. The main HMM algorithms, with allowance for the presence of genotyping errors, for backcrosses, intercrosses, and phase-known four-way crosses were implemented. . The current version of R/qtl includes facilities for estimating genetic maps, identifying genotyping errors, and performing single-QTL genome scans and two-QTL, two-dimensional genome scans, by interval mapping (with the EM algorithm), Haley-Knott regression, and multiple imputation. All of this may be done in the presence of covariates (such as sex, age or treatment). One may also fit higher-order QTL models by multiple imputation.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamer-cran-qtl
PackageSectiongnu-r
PackageVersion1.33-7-1
SHA-1EEFF1D62FFC5F13CBC7E263495C2D58C93FCC394
SHA-2562B352132A84C96D605336C3367CCDA1DC18861A91A0C4105F58CBCB68CAE283B