Parents (Total: 23)

The searched file hash is included in 23 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	EE8E4672B2731311F15D985E8543ED32
PackageArch	noarch
PackageDescription	Data of T- and B-cell Acute Lymphocytic Leukemia from the Ritz Laboratory at the DFCI (includes Apr 2004 versions)
PackageMaintainer	Fedora Project
PackageName	R-ALL
PackageRelease	2.fc23
PackageVersion	1.6.0
SHA-1	05BA1B7300504E85B400A45AF85E3A9B7A1F294F
SHA-256	A4A13B8F14819409D9E1EBB7063CC28DA5242AB5340FBB0AC62D6F3984DF6FC5

Key	Value
MD5	549C0DBDDFBFEED33B56CE4B830E0816
PackageArch	s390
PackageDescription	ACE and AVAS (additivity and variance stabilization) are used to estimate transformations for regression.
PackageMaintainer	Fedora Project
PackageName	R-acepack
PackageRelease	4.fc23
PackageVersion	1.3.3.3
SHA-1	0785FE052D18A81FC4612D172AA6486DB537CEFF
SHA-256	86B8ECFD188BCFFD007B7E56EB64E960909A92964AFED90DDDA2A350AD4088C4

Key	Value
MD5	4BC461E61495C7DB2DCB23084540EFA9
PackageArch	ppc64le
PackageDescription	ACE and AVAS (additivity and variance stabilization) are used to estimate transformations for regression.
PackageMaintainer	Fedora Project
PackageName	R-acepack
PackageRelease	4.fc23
PackageVersion	1.3.3.3
SHA-1	07D63ADC86902B8F7F4F5B76E2755F1CD75215E8
SHA-256	AC632E499FEBDCBF4FA2E46E71C885AE19A9B7AF3AE28E4DAAB352FF42D13E97

Key	Value
MD5	038723E2FDBF1866142F97F2D6CD9000
PackageArch	s390
PackageDescription	Rsolid is an R package for normalizing fluorescent intensity data from ABI/SOLiD second generation sequencing platform. It has been observed that the color-calls provided by factory software contain technical artifacts, where the proportions of colors called are extremely variable across sequencing cycles. Under the random DNA fragmentation assumption, these proportions should be equal across sequencing cycles and proportional to the dinucleotide frequencies of the sample. Rsolid implements a version of the quantile normalization algorithm that transforms the intensity values before calling colors. Results show that after normalization, the total number of mappable reads increases by around 5%, and number of perfectly mapped reads increases by 10%. Moreover a 2-5% reduction in overall error rates is observed, with a 2-6% reduction in the rate of valid adjacent color mis-matches. The latter is important, since it leads to a decrease in false-positive SNP calls. The normalization algorithm is computationally efficient. In a test we are able to process 300 million reads in 2 hours using 10 computer cluster nodes. The engine functions of the package are written in C for better performance.
PackageMaintainer	Fedora Project
PackageName	R-Rsolid
PackageRelease	16.fc23
PackageVersion	0.9.31
SHA-1	09A8E74A798DB7C2518679EEBC0CD962DD5DF9A4
SHA-256	DE49DF04112C772575BCCE21EAF03D7B65B46FA1FD353AD0809F80F84A407C34

Key	Value
MD5	2268565BC73713EBA839A9FB06B5646D
PackageArch	noarch
PackageDescription	ExprSet for Karaman et al. (2003) human, bonobo and gorilla fibroblasts data.
PackageMaintainer	Fedora Project
PackageName	R-fibroEset
PackageRelease	2.fc23
PackageVersion	1.6.0
SHA-1	0AE1D8BF2910F4CF9DBA4869A8F06538D73C79ED
SHA-256	D4239EF6ECD28E64C5B53602AF7E8C64BE36E0BAB8B6A9CE7C81D6A3027E540C

Key	Value
MD5	DB9CD3D54BD8E067CE03AECF7F7897EB
PackageArch	aarch64
PackageDescription	Rsolid is an R package for normalizing fluorescent intensity data from ABI/SOLiD second generation sequencing platform. It has been observed that the color-calls provided by factory software contain technical artifacts, where the proportions of colors called are extremely variable across sequencing cycles. Under the random DNA fragmentation assumption, these proportions should be equal across sequencing cycles and proportional to the dinucleotide frequencies of the sample. Rsolid implements a version of the quantile normalization algorithm that transforms the intensity values before calling colors. Results show that after normalization, the total number of mappable reads increases by around 5%, and number of perfectly mapped reads increases by 10%. Moreover a 2-5% reduction in overall error rates is observed, with a 2-6% reduction in the rate of valid adjacent color mis-matches. The latter is important, since it leads to a decrease in false-positive SNP calls. The normalization algorithm is computationally efficient. In a test we are able to process 300 million reads in 2 hours using 10 computer cluster nodes. The engine functions of the package are written in C for better performance.
PackageMaintainer	Fedora Project
PackageName	R-Rsolid
PackageRelease	16.fc23
PackageVersion	0.9.31
SHA-1	1D1EFA7534704EF715FA89734D4747041A016695
SHA-256	C51BBD1577A3458384713B8F0F6ECC007450126324567A63B07317041F8C08DA

Key	Value
MD5	D3315BBC99A11F21A9BCD656D579082E
PackageArch	aarch64
PackageDescription	ACE and AVAS (additivity and variance stabilization) are used to estimate transformations for regression.
PackageMaintainer	Fedora Project
PackageName	R-acepack
PackageRelease	4.fc23
PackageVersion	1.3.3.3
SHA-1	2ACD70C8F86636919F20B3A7CBE94702858F7BBD
SHA-256	7C7EA5DBE923E634201FCE401080E7A8183E657138F69F042C6E9A8921F0DC81

Key	Value
MD5	B1C0FDCC359CD160E03F57428245B44A
PackageArch	noarch
PackageDescription	Data for other R packages.
PackageMaintainer	Fedora Project
PackageName	R-TH-data
PackageRelease	3.fc23
PackageVersion	1.0.3
SHA-1	2CBB2C9743DF2C5347625EDCB59203E6BF75516E
SHA-256	5F3D694B289F1882F74DA7E8E3EBF12F6369AED03E5C96F2BC1072842429920A

Key	Value
MD5	47FDBA67A2CAC70157C8BCB72A199F0B
PackageArch	noarch
PackageDescription	Data for other R packages.
PackageMaintainer	Fedora Project
PackageName	R-TH-data
PackageRelease	3.fc23
PackageVersion	1.0.3
SHA-1	649D3419C34A37D2B6A3374E5794656601557ED0
SHA-256	4B609A01C662D22B7BF37D59840A3DFE2DC696D898022299A9564B1596EDDAEE

Key	Value
MD5	FC232DD059EEB59B0817F7EDB8E35FF9
PackageArch	noarch
PackageDescription	Data for other R packages.
PackageMaintainer	Fedora Project
PackageName	R-TH-data
PackageRelease	3.fc23
PackageVersion	1.0.3
SHA-1	65B354787DEE87B56A40515318A0546A7B9C5D85
SHA-256	AC98498780A324383620D5494332469903AD301F94124C90C349C5D1A1B804EF